def digester(model,
standard_geometry_restraints_manager,
params,
log=StringIO(),
):
#
# Digest
#
sgrm = standard_geometry_restraints_manager
qm_grm = manager(params, log=log)
for attr, value in list(vars(sgrm).items()):
if attr.startswith('__'): continue
setattr(qm_grm, attr, value)
qm_grm.standard_geometry_restraints_manager = sgrm
#
make_header('QM Restraints Initialisation', out=log)
qm_restraints_initialisation(params, log=log)
run_program=True
# # transfer_internal_coordinates=True
for i, qmr in enumerate(params.qi.qm_restraints):
if qmr.run_in_macro_cycles=='test': break
else: run_program=False
run_energies(model,
params,
run_program=run_program,
# transfer_internal_coordinates=transfer_internal_coordinates,
log=log,
)
return qm_grm
def run (args, out=sys.stdout) :
usage_string="""\
mmtbx.validate_ions model.pdb data.mtz [options ...]
Utility to validate ions that have been built into a model, based on local
environment, electron density maps, and atomic properties.
"""
import mmtbx.ions.identify
import mmtbx.command_line
cmdline = mmtbx.command_line.load_model_and_data(
args=args,
master_phil=master_phil(),
out=out,
process_pdb_file=True,
create_fmodel=True,
set_wavelength_from_model_header=True,
set_inelastic_form_factors="sasaki",
prefer_anomalous=True)
fmodel = cmdline.fmodel
xray_structure = cmdline.xray_structure
params = cmdline.params
pdb_hierarchy = cmdline.pdb_hierarchy
geometry = cmdline.geometry
make_header("Inspecting ions", out=out)
manager = mmtbx.ions.identify.create_manager(
pdb_hierarchy = pdb_hierarchy,
fmodel=fmodel,
geometry_restraints_manager=geometry,
wavelength=params.input.wavelength,
params=params,
verbose = params.debug,
nproc = params.nproc,
log=out)
manager.show_current_scattering_statistics(out=out)
return manager.validate_ions(out = out, debug = params.debug)
def build_window_conformers (self, stop_if_none=False) :
self.extract_selection()
print >> self.out, ""
self.fmodel.info().show_targets(out=self.out, text="starting model")
make_header("Sampling sliding windows", out=self.out)
t1 = time.time()
driver = sliding_window.fragment_refinement_driver(
fmodel=self.fmodel,
pdb_hierarchy=self.pdb_hierarchy,
processed_pdb_file=self.processed_pdb_file,
params=self.params.sliding_window,
mp_params=self.params,
selection=self.selection,
cif_objects=self.cif_objects,
debug=self.debug,
verbose=self.verbose,
out=self.out)
t2 = time.time()
print >> self.out, "sampling time: %.3fs" % (t2-t1)
n_ensembles = driver.n_ensembles()
if (n_ensembles == 0) and (stop_if_none) :
raise Sorry("No new conformations generated.")
self.pdb_hierarchy = driver.assemble(out=self.out)
self.processed_pdb_file = None # needs to be reset
return n_ensembles
def __init__(self, params, out=sys.stdout):
iotbx.table_one.table.__init__(
self,
text_field_separation=params.output.text_field_separation,
count_anomalous_pairs_separately=params.processing.count_anomalous_pairs_separately,
)
self.output_dir = os.getcwd()
self.params = params
self.output_files = []
make_header("Running data analysis and validation", out=out)
results = easy_mp.parallel_map(
iterable=range(len(self.params.structure)),
func=self.run_single_structure,
processes=params.multiprocessing.nproc,
method=params.multiprocessing.technology,
preserve_exception_message=True,
)
for structure, result in zip(params.structure, results):
print >> out, ""
print >> out, "Collecting stats for structure %s" % structure.name
column = result.validation.as_table1_column(
label=structure.name,
wavelength=structure.wavelength,
re_compute_r_factors=params.processing.re_compute_r_factors,
log=out,
)
self.add_column(column)
def init_amber(self, params, pdb_hierarchy, log):
if hasattr(params, "amber"):
self.use_amber = params.amber.use_amber
print_amber_energies = params.amber.print_amber_energies
if (self.use_amber):
sites_cart = pdb_hierarchy.atoms().extract_xyz()
compute_gradients = False
make_header("Initializing AMBER", out=log)
print >> log, " topology : %s" % params.amber.topology_file_name
print >> log, " atom order : %s" % params.amber.order_file_name
if params.amber.coordinate_file_name:
print >> log, " coordinates : %s" % params.amber.coordinate_file_name
from amber_adaptbx import interface
self.amber_structs, sander = interface.get_amber_struct_object(
params)
self.sander = sander # used for cleanup
import amber_adaptbx
amber_geometry_manager = amber_adaptbx.geometry_manager(
sites_cart=sites_cart,
#number_of_restraints=geometry_energy.number_of_restraints,
gradients_factory=flex.vec3_double,
amber_structs=self.amber_structs)
geometry = amber_geometry_manager.energies_sites(
crystal_symmetry=self.geometry.crystal_symmetry,
compute_gradients=compute_gradients)
def run(args, out=sys.stdout):
usage_string = """\
mmtbx.validate_ions model.pdb data.mtz [options ...]
Utility to validate ions that have been built into a model, based on local
environment, electron density maps, and atomic properties.
"""
import mmtbx.ions.identify
import mmtbx.command_line
cmdline = mmtbx.command_line.load_model_and_data(
args=args,
master_phil=master_phil(),
out=out,
process_pdb_file=True,
create_fmodel=True,
set_wavelength_from_model_header=True,
set_inelastic_form_factors="sasaki",
prefer_anomalous=True)
fmodel = cmdline.fmodel
xray_structure = cmdline.xray_structure
params = cmdline.params
pdb_hierarchy = cmdline.pdb_hierarchy
geometry = cmdline.geometry
make_header("Inspecting ions", out=out)
manager = mmtbx.ions.identify.create_manager(
pdb_hierarchy=pdb_hierarchy,
fmodel=fmodel,
geometry_restraints_manager=geometry,
wavelength=params.input.wavelength,
params=params,
verbose=params.debug,
nproc=params.nproc,
log=out)
manager.show_current_scattering_statistics(out=out)
return manager.validate_ions(out=out, debug=params.debug)
def run(args, out=sys.stdout):
if (len(args) == 0) or ("--help" in args):
raise Usage("mmtbx.rigid_bond_test model.pdb")
from mmtbx.monomer_library import pdb_interpretation
import mmtbx.restraints
import mmtbx.model
import iotbx.phil
cmdline = iotbx.phil.process_command_line_with_files(
args=args,
master_phil=master_phil,
pdb_file_def="model",
cif_file_def="restraints")
params = cmdline.work.extract()
validate_params(params)
processed_pdb_file = pdb_interpretation.run(args=[params.model] +
params.restraints)
geometry = processed_pdb_file.geometry_restraints_manager(
show_energies=True)
restraints_manager = mmtbx.restraints.manager(geometry=geometry,
normalization=True)
model = mmtbx.model.manager(
xray_structure=processed_pdb_file.xray_structure(),
pdb_hierarchy=processed_pdb_file.all_chain_proxies.pdb_hierarchy,
restraints_manager=restraints_manager,
log=out)
make_header("Rigid-bond test", out=out)
model.show_rigid_bond_test(out=out, use_id_str=True, prefix=" ")
def initialisation(self, params, log=None):
make_header("Initializing Amber", out=log)
error = '''
no filename for %s provided
use
%s=<filename>.%s
'''
print(" topology : %s" % params.amber.topology_file_name, file=log)
if not params.amber.topology_file_name:
raise Sorry(error %
('topology', 'amber.topology_file_name', 'prmtop'))
if params.amber.topology_file_name.endswith('rst7'):
raise Sorry('possible wrong format - need .prmtop file')
print(" atom order : %s" % params.amber.order_file_name, file=log)
if not params.amber.order_file_name:
raise Sorry(error % ('order', 'amber.order_file_name', 'order'))
if params.amber.coordinate_file_name or 1:
print(" coordinates : %s" % params.amber.coordinate_file_name,
file=log)
if not params.amber.coordinate_file_name:
raise Sorry(
error %
('coordinate', 'amber.coordinate_file_name', 'rst7'))
make_header('...', out=log)
def run_cartesian_dynamics(xray_structure, states_collector,
restraints_manager, params, stop_at_diff, log):
from mmtbx.dynamics import cartesian_dynamics
make_header("Simple cartesian dynamics", out=log)
sites_cart_start = xray_structure.sites_cart().deep_copy()
gradients_calculator = \
cartesian_dynamics.gradients_calculator_reciprocal_space(
restraints_manager = restraints_manager,
sites_cart = xray_structure.sites_cart(),
wc = 1)
cartesian_dynamics.run(xray_structure=xray_structure,
gradients_calculator=gradients_calculator,
temperature=params.temperature,
states_collector=states_collector,
n_steps=params.number_of_steps,
time_step=params.time_step,
initial_velocities_zero_fraction=params.
initial_velocities_zero_fraction,
n_print=params.n_print,
stop_cm_motion=params.stop_cm_motion,
stop_at_diff=stop_at_diff,
log=log,
verbose=1)
sites_cart_end = xray_structure.sites_cart()
rmsd = sites_cart_end.rms_difference(sites_cart_start)
print("", file=log)
print("RMSD from starting structure: %.3f" % rmsd, file=log)
def run_cartesian_dynamics (
xray_structure,
states_collector,
restraints_manager,
params,
stop_at_diff,
log) :
from mmtbx.dynamics import cartesian_dynamics
make_header("Simple cartesian dynamics", out=log)
sites_cart_start = xray_structure.sites_cart().deep_copy()
gradients_calculator = \
cartesian_dynamics.gradients_calculator_reciprocal_space(
restraints_manager = restraints_manager,
sites_cart = xray_structure.sites_cart(),
wc = 1)
cartesian_dynamics.run(
xray_structure=xray_structure,
gradients_calculator=gradients_calculator,
temperature=params.temperature,
states_collector=states_collector,
n_steps=params.number_of_steps,
time_step=params.time_step,
initial_velocities_zero_fraction=params.initial_velocities_zero_fraction,
n_print=params.n_print,
stop_cm_motion=params.stop_cm_motion,
stop_at_diff=stop_at_diff,
log=log,
verbose=1)
sites_cart_end = xray_structure.sites_cart()
rmsd = sites_cart_end.rms_difference(sites_cart_start)
print >> log, ""
print >> log, "RMSD from starting structure: %.3f" % rmsd
def cleanup(self):
make_header('Cleaning up - Amber')
if self.sander and self.amber_structs:
if self.amber_structs.is_LES:
import sanderles
sanderles.cleanup()
else:
import sander
sander.cleanup()
def run (args, out=sys.stdout) :
usage_string = """
mmtbx.water_screen model.pdb data.mtz [options ...]
Utility to flag waters that may actually be elemental ions, based on local
environment, electron density maps, and atomic properties.
"""
import mmtbx.ions.identify
import mmtbx.command_line
cmdline = mmtbx.command_line.load_model_and_data(
args=args,
master_phil=master_phil(),
out=out,
process_pdb_file=True,
set_wavelength_from_model_header=True,
set_inelastic_form_factors="sasaki",
create_fmodel=True,
prefer_anomalous=True)
fmodel = cmdline.fmodel
xray_structure = cmdline.xray_structure
params = cmdline.params
if (params.use_svm) :
if (params.elements is Auto) :
raise Sorry("You must specify elements to consider when using the SVM "+
"prediction method.")
pdb_hierarchy = cmdline.pdb_hierarchy
geometry = cmdline.geometry
make_header("Inspecting water molecules", out=out)
manager_class = None
if (params.use_svm) :
manager_class = mmtbx.ions.svm.manager
manager = mmtbx.ions.identify.create_manager(
pdb_hierarchy = pdb_hierarchy,
fmodel = fmodel,
geometry_restraints_manager = geometry,
wavelength = params.input.wavelength,
params = params,
verbose = params.debug,
nproc = params.nproc,
log = out,
manager_class = manager_class)
manager.show_current_scattering_statistics(out=out)
candidates = Auto
if (params.elements is not Auto) and (params.elements is not None) :
from cctbx.eltbx import chemical_elements
lu = chemical_elements.proper_upper_list()
elements = params.elements.replace(",", " ")
candidates = elements.split()
for elem in candidates :
if (elem.upper() not in lu) :
raise Sorry("Unrecognized element '%s'" % elem)
results = manager.analyze_waters(
out = out,
debug = params.debug,
candidates = candidates)
return results, pdb_hierarchy
def run(args, out=sys.stdout):
usage_string = """
mmtbx.water_screen model.pdb data.mtz [options ...]
Utility to flag waters that may actually be elemental ions, based on local
environment, electron density maps, and atomic properties.
"""
import mmtbx.ions.identify
import mmtbx.command_line
cmdline = mmtbx.command_line.load_model_and_data(
args=args,
master_phil=master_phil(),
out=out,
process_pdb_file=True,
set_wavelength_from_model_header=True,
set_inelastic_form_factors="sasaki",
create_fmodel=True,
prefer_anomalous=True)
fmodel = cmdline.fmodel
xray_structure = cmdline.xray_structure
params = cmdline.params
if (params.use_svm):
if (params.elements is Auto):
raise Sorry(
"You must specify elements to consider when using the SVM " +
"prediction method.")
pdb_hierarchy = cmdline.pdb_hierarchy
geometry = cmdline.geometry
make_header("Inspecting water molecules", out=out)
manager_class = None
if (params.use_svm):
manager_class = mmtbx.ions.svm.manager
manager = mmtbx.ions.identify.create_manager(
pdb_hierarchy=pdb_hierarchy,
fmodel=fmodel,
geometry_restraints_manager=geometry,
wavelength=params.input.wavelength,
params=params,
verbose=params.debug,
nproc=params.nproc,
log=out,
manager_class=manager_class)
manager.show_current_scattering_statistics(out=out)
candidates = Auto
if (params.elements is not Auto) and (params.elements is not None):
from cctbx.eltbx import chemical_elements
lu = chemical_elements.proper_upper_list()
elements = params.elements.replace(",", " ")
candidates = elements.split()
for elem in candidates:
if (elem.upper() not in lu):
raise Sorry("Unrecognized element '%s'" % elem)
results = manager.analyze_waters(out=out,
debug=params.debug,
candidates=candidates)
return results, pdb_hierarchy
def _main(args, out=sys.stdout):
"""
Main entry point to this script.
Parameters
----------
args : list of str
List of arguments, should not include the first argument with the
executable name.
out : file, optional
"""
usage_string = """\
phenix.python -m mmtbx.ions.svm.dump_sites model.pdb data.mtz [options ...]
Utility to dump information about the properties of water and ion sites in a
model. This properties include local environment, electron density maps, and
atomic properties.
"""
cmdline = load_model_and_data(
args=args,
master_phil=master_phil(),
out=out,
process_pdb_file=True,
create_fmodel=True,
prefer_anomalous=True,
set_wavelength_from_model_header=True,
set_inelastic_form_factors="sasaki",
usage_string=usage_string,
)
params = cmdline.params
params.use_svm = True
make_header("Inspecting sites", out=out)
manager = ions.identify.create_manager(
pdb_hierarchy=cmdline.pdb_hierarchy,
fmodel=cmdline.fmodel,
geometry_restraints_manager=cmdline.geometry,
wavelength=params.input.wavelength,
params=params,
verbose=params.debug,
nproc=params.nproc,
log=out,
)
manager.show_current_scattering_statistics(out=out)
sites = dump_sites(manager)
out_name = os.path.splitext(
params.input.pdb.file_name[0])[0] + "_sites.pkl"
print("Dumping to", out_name, file=out)
easy_pickle.dump(out_name, sites)
def _main(args, out=sys.stdout):
"""
Main entry point to this script.
Parameters
----------
args : list of str
List of arguments, should not include the first argument with the
executable name.
out : file, optional
"""
usage_string = """\
phenix.python -m mmtbx.ions.svm.dump_sites model.pdb data.mtz [options ...]
Utility to dump information about the properties of water and ion sites in a
model. This properties include local environment, electron density maps, and
atomic properties.
"""
cmdline = load_model_and_data(
args=args,
master_phil=master_phil(),
out=out,
process_pdb_file=True,
create_fmodel=True,
prefer_anomalous=True,
set_wavelength_from_model_header=True,
set_inelastic_form_factors="sasaki",
usage_string=usage_string,
)
params = cmdline.params
params.use_svm = True
make_header("Inspecting sites", out=out)
manager = ions.identify.create_manager(
pdb_hierarchy=cmdline.pdb_hierarchy,
fmodel=cmdline.fmodel,
geometry_restraints_manager=cmdline.geometry,
wavelength=params.input.wavelength,
params=params,
verbose=params.debug,
nproc=params.nproc,
log=out,
)
manager.show_current_scattering_statistics(out=out)
sites = dump_sites(manager)
out_name = os.path.splitext(params.input.pdb.file_name[0])[0] + "_sites.pkl"
print >> out, "Dumping to", out_name
easy_pickle.dump(out_name, sites)
def __init__ (self,
fmodel,
pdb_hierarchy,
params=None,
processed_pdb_file=None,
geometry_restraints_manager=None,
cif_objects=(),
cif_files=(), # XXX bug
debug=None,
verbose=True,
out=sys.stdout) :
adopt_init_args(self, locals())
if (self.params is None) :
self.params = master_phil.extract().alt_confs
self.extract_selection()
self.refine_cycle = 1
self.map_file = None
self.r_work_start = fmodel.r_work()
self.r_free_start = fmodel.r_free()
t_start = time.time()
for i_cycle in range(params.macro_cycles) :
n_alts = self.build_residue_conformers(stop_if_none=(i_cycle==0))
if (n_alts == 0) :
if (i_cycle == 0) :
raise Sorry("No alternate conformations found.")
else :
self.refine(constrain_occupancies=False)
refine_again = self.params.refinement.constrain_correlated_occupancies
if (self.rejoin()) :
refine_again = True
self.refine(title="Refining final model")
make_header("Finished", out=out)
from mmtbx.validation import molprobity
validation = molprobity.molprobity(
pdb_hierarchy=self.pdb_hierarchy,
outliers_only=False)
print >> self.out, ""
validation.show_summary(out=self.out, prefix=" ")
make_sub_header("Analyzing final model", out=out)
analyze_model.process_pdb_hierarchy(
pdb_hierarchy=self.pdb_hierarchy,
validation=validation,
log=self.out).show(out=out, verbose=self.verbose)
print >> self.out, ""
print >> self.out, "Start: r_work=%6.4f r_free=%6.4f" % \
(self.r_work_start, self.r_free_start)
print >> self.out, "Final: r_work=%6.4f r_free=%6.4f" % \
(self.fmodel.r_work(), self.fmodel.r_free())
t_end = time.time()
print >> self.out, ""
print >> self.out, "Total runtime: %d s" % int(t_end - t_start)
print >> self.out, ""
def __init__(self, logger, folder, params):
self.logger = logger
self.folder = folder
self.params = params
self.prefix = os.path.basename(os.path.normpath(folder))
self.pdb_code = self.prefix[0:4]
self.map_code = self.prefix[5:]
self.success = True
make_header('Model: %s (emdb %s)' %
(self.pdb_code, self.map_code), out=self.logger)
make_sub_header('Initializing', out=self.logger)
self.prepare_directory()
self.initialize_json()
def process(self):
#
make_header('Retrieving map and model files for CERES')
print("Using EMDB mirror:", emdb)
#
# Folder where this script is supposed to be executed
self.check_work_root_folder()
#
# Get list of folders like EMD-xxx
folders = self.get_folders_sorted_by_size()
#
#print("Total folders that contain map:", len(folders))
self.process_folders(folders=folders)
def run (args, out=sys.stdout) :
from mmtbx.disorder import analyze_model
import mmtbx.validation.molprobity
import mmtbx.command_line
cmdline = mmtbx.command_line.load_model_and_data(
args=args,
master_phil=master_phil(),
require_data=False,
create_fmodel=True,
process_pdb_file=True,
usage_string="mmtbx.analyze_static_disorder model.pdb",
out=out)
hierarchy = cmdline.pdb_hierarchy
params = cmdline.params
validation = mmtbx.validation.molprobity.molprobity(
pdb_hierarchy=hierarchy,
xray_structure=cmdline.xray_structure,
fmodel=cmdline.fmodel,
crystal_symmetry=cmdline.crystal_symmetry,
geometry_restraints_manager=cmdline.geometry,
header_info=None,
keep_hydrogens=False,
outliers_only=False,
nuclear=False)
segments = []
make_header("Analyzing model", out=out)
if (params.ignore_inconsistent_occupancy) :
print >> out, "Discontinuous occupancies will be ignored."
process = analyze_model.process_pdb_hierarchy(
pdb_hierarchy=hierarchy,
validation=validation,
ignore_inconsistent_occupancy=params.ignore_inconsistent_occupancy,
log=out)
make_sub_header("MolProbity validation", out=out)
validation.show_summary(out=out)
make_sub_header("Disorder analysis", out=out)
if (process.n_disordered == 0) :
print >> out, "No alternate conformations found."
else :
process.show(out=out, verbose=params.verbose)
if (params.pickle) :
file_name = os.path.basename(
os.path.splitext(params.input.pdb.file_name[0])[0]) + ".pkl"
easy_pickle.dump(file_name, process)
return process
def run(args, out=sys.stdout):
from mmtbx.disorder import analyze_model
import mmtbx.validation.molprobity
import mmtbx.command_line
cmdline = mmtbx.command_line.load_model_and_data(
args=args,
master_phil=master_phil(),
require_data=False,
create_fmodel=True,
process_pdb_file=True,
usage_string="mmtbx.analyze_static_disorder model.pdb",
out=out)
hierarchy = cmdline.pdb_hierarchy
params = cmdline.params
validation = mmtbx.validation.molprobity.molprobity(
pdb_hierarchy=hierarchy,
xray_structure=cmdline.xray_structure,
fmodel=cmdline.fmodel,
crystal_symmetry=cmdline.crystal_symmetry,
geometry_restraints_manager=cmdline.geometry,
header_info=None,
keep_hydrogens=False,
outliers_only=False,
nuclear=False)
segments = []
make_header("Analyzing model", out=out)
if (params.ignore_inconsistent_occupancy):
print("Discontinuous occupancies will be ignored.", file=out)
process = analyze_model.process_pdb_hierarchy(
pdb_hierarchy=hierarchy,
validation=validation,
ignore_inconsistent_occupancy=params.ignore_inconsistent_occupancy,
log=out)
make_sub_header("MolProbity validation", out=out)
validation.show_summary(out=out)
make_sub_header("Disorder analysis", out=out)
if (process.n_disordered == 0):
print("No alternate conformations found.", file=out)
else:
process.show(out=out, verbose=params.verbose)
if (params.pickle):
file_name = os.path.basename(
os.path.splitext(params.input.pdb.file_name[0])[0]) + ".pkl"
easy_pickle.dump(file_name, process)
return process
def run (args, out=None) :
if (out is None) : out = sys.stdout
from mmtbx.building.alternate_conformations import single_residue
import mmtbx.command_line
cmdline = mmtbx.command_line.load_model_and_data(
args=args,
master_phil=master_phil(),
process_pdb_file=True,
create_fmodel=True,
out=out,
usage_string="""\
mmtbx.build_alt_confs_simple model.pdb data.mtz [options]
Simple tool for building alternate conformations by real-space refinement into
difference density. Not intended for production use - use the program
mmtbx.build_alternate_conformations if you want refinement and post-processing.
""")
params = cmdline.params
validate_params(params)
log = multi_out()
log.register("stdout", out)
log_file_name = os.path.splitext(params.output.file_name)[0] + ".log"
logfile = open(log_file_name, "w")
log.register("logfile", logfile)
pdb_hierarchy, n_alternates = single_residue.build_cycle(
pdb_hierarchy = cmdline.pdb_hierarchy,
fmodel = cmdline.fmodel,
geometry_restraints_manager = cmdline.geometry,
params = params,
cif_objects=cmdline.cif_objects,
selection=params.selection,
nproc=params.nproc,
verbose=params.output.verbose,
debug=params.output.debug,
out=log)
# TODO real-space refinement of multi-conformer model
f = open(params.output.file_name, "w")
f.write(pdb_hierarchy.as_pdb_string(
crystal_symmetry=cmdline.fmodel.xray_structure))
f.close()
make_header("Building complete", out=out)
print >> log, ""
print >> log, "Wrote %s" % params.output.file_name
print >> log, "You MUST refine this model before using it!"
def run(args, out=None):
if (out is None): out = sys.stdout
from mmtbx.building.alternate_conformations import single_residue
import mmtbx.command_line
cmdline = mmtbx.command_line.load_model_and_data(args=args,
master_phil=master_phil(),
process_pdb_file=True,
create_fmodel=True,
out=out,
usage_string="""\
mmtbx.build_alt_confs_simple model.pdb data.mtz [options]
Simple tool for building alternate conformations by real-space refinement into
difference density. Not intended for production use - use the program
mmtbx.build_alternate_conformations if you want refinement and post-processing.
""")
params = cmdline.params
validate_params(params)
log = multi_out()
log.register("stdout", out)
log_file_name = os.path.splitext(params.output.file_name)[0] + ".log"
logfile = open(log_file_name, "w")
log.register("logfile", logfile)
pdb_hierarchy, n_alternates = single_residue.build_cycle(
pdb_hierarchy=cmdline.pdb_hierarchy,
fmodel=cmdline.fmodel,
geometry_restraints_manager=cmdline.geometry,
params=params,
cif_objects=cmdline.cif_objects,
selection=params.selection,
nproc=params.nproc,
verbose=params.output.verbose,
debug=params.output.debug,
out=log)
# TODO real-space refinement of multi-conformer model
f = open(params.output.file_name, "w")
f.write(
pdb_hierarchy.as_pdb_string(
crystal_symmetry=cmdline.fmodel.xray_structure))
f.close()
make_header("Building complete", out=out)
print >> log, ""
print >> log, "Wrote %s" % params.output.file_name
print >> log, "You MUST refine this model before using it!"
def __init__ (self, params, out=sys.stdout) :
iotbx.table_one.table.__init__(self,
text_field_separation=params.output.text_field_separation)
self.output_dir = os.getcwd()
self.params = params
self.output_files = []
make_header("Running data analysis and validation", out=out)
results = easy_mp.parallel_map(
iterable=range(len(self.params.structure)),
func=self.run_single_structure,
processes=params.multiprocessing.nproc,
method=params.multiprocessing.technology,
preserve_exception_message=True)
for structure, result in zip(params.structure, results) :
print >> out, ""
print >> out, "Collecting stats for structure %s" % structure.name
column = result.validation.as_table1_column(
label=structure.name,
wavelength=structure.wavelength,
re_compute_r_factors=params.processing.re_compute_r_factors,
log=out)
self.add_column(column)
def init_afitt(self, params, pdb_hierarchy, log):
if hasattr(params, "afitt"):
use_afitt = params.afitt.use_afitt
if (use_afitt):
from mmtbx.geometry_restraints import afitt
# this only seems to work for a single ligand
# multiple ligands are using the monomers input
if params.afitt.ligand_file_name is None:
ligand_paths = params.input.monomers.file_name
else:
ligand_paths = [params.afitt.ligand_file_name]
afitt.validate_afitt_params(params.afitt)
ligand_names = params.afitt.ligand_names.split(',')
if len(ligand_names) != len(ligand_paths) and len(
ligand_names) == 1:
# get restraints library instance of ligand
from mmtbx.monomer_library import server
for ligand_name in ligand_names:
result = server.server().get_comp_comp_id_direct(
ligand_name)
if result is not None:
so = result.source_info # not the smartest way
if so.find("file:") == 0:
ligand_paths = [so.split(":")[1].strip()]
if len(ligand_names) != len(ligand_paths):
raise Sorry("need restraint CIF files for each ligand")
make_header("Initializing AFITT", out=log)
#print >> log, " ligands: %s" % params.afitt.ligand_file_name
afitt_object = afitt.afitt_object(ligand_paths, ligand_names,
pdb_hierarchy,
params.afitt.ff,
params.afitt.scale)
print >> log, afitt_object
afitt_object.check_covalent(self.geometry)
# afitt log output
afitt_object.initial_energies = afitt.get_afitt_energy(
ligand_paths, ligand_names, pdb_hierarchy, params.afitt.ff,
pdb_hierarchy.atoms().extract_xyz(), self.geometry)
self.afitt_object = afitt_object
def run (args, out=sys.stdout) :
from mmtbx.command_line import load_model_and_data
import mmtbx.ncs.ligands
cmdline = load_model_and_data(
args=args,
master_phil=master_phil_str % mmtbx.ncs.ligands.ncs_ligand_phil,
out=out,
process_pdb_file=True,
generate_input_phil=True,
usage_string="""\
mmtbx.apply_ncs_to_ligand model.pdb data.mtz ligand_code=LIG ...
Given a multi-chain PDB file and a ligand residue name, find copies of the
ligand in the input file, identify NCS operators relating macromolecule chains,
and search for additional ligand sites by applying these operators. Used to
complete ligand placement in cases where LigandFit (etc.) is only partially
successful.
""")
pdb_hierarchy = cmdline.pdb_hierarchy
fmodel = cmdline.fmodel
params = cmdline.params
if (params.output_file is None) :
params.output_file = "ncs_ligands.pdb"
if (params.output_map is None) :
params.output_map = "ncs_ligands.mtz"
make_header("Finding ligands by NCS operators", out=out)
result = mmtbx.ncs.ligands.apply_ligand_ncs(
pdb_hierarchy=pdb_hierarchy,
fmodel=fmodel,
params=params,
ligand_code=params.ligand_code,
atom_selection=None,
add_new_ligands_to_pdb=params.add_to_model,
log=out)
result.write_pdb(params.output_file)
result.write_maps(params.output_map)
return result
def run(args, out=sys.stdout):
if (len(args) == 0) or ("--help" in args):
raise Usage("mmtbx.rigid_bond_test model.pdb")
from mmtbx.monomer_library import pdb_interpretation
import mmtbx.restraints
import mmtbx.model
import iotbx.phil
cmdline = iotbx.phil.process_command_line_with_files(
args=args, master_phil=master_phil, pdb_file_def="model", cif_file_def="restraints"
)
params = cmdline.work.extract()
validate_params(params)
processed_pdb_file = pdb_interpretation.run(args=[params.model] + params.restraints)
geometry = processed_pdb_file.geometry_restraints_manager(show_energies=True)
restraints_manager = mmtbx.restraints.manager(geometry=geometry, normalization=True)
model = mmtbx.model.manager(
xray_structure=processed_pdb_file.xray_structure(),
pdb_hierarchy=processed_pdb_file.all_chain_proxies.pdb_hierarchy,
restraints_manager=restraints_manager,
log=out,
)
make_header("Rigid-bond test", out=out)
model.show_rigid_bond_test(out=out, use_id_str=True, prefix=" ")
def run (args, out=None) :
if (out is None) :
out = sys.stdout
make_header("mmtbx.simulate_low_res_data", out=out)
print >> out, """
For generation of realistic data (model-based, or using real
high-resolution data) for methods development.
*********************************** WARNING: ***********************************
this is an experimental program - definitely NOT bug-free.
Use at your own risk!
Usage:
mmtbx.simulate_low_res_data model.pdb [options...]
(generate data from a PDB file)
mmtbx.simulate_low_res_data highres.mtz [model.pdb] [options...]
(truncate high-resolution data)
mmtbx.simulate_low_res_data --help
(print full parameters with additional info)
"""
if (len(args) == 0) or ("--help" in args) :
print >> out, "# full parameters:"
if ("--help" in args) :
master_phil.show(attributes_level=1)
else :
master_phil.show()
return
from iotbx import file_reader
interpreter = master_phil.command_line_argument_interpreter(
home_scope="simulate_data")
pdb_in = None
pdb_hierarchy = None
hkl_in = None
user_phil = []
for arg in args :
if os.path.isfile(arg) :
f = file_reader.any_file(arg)
if (f.file_type == "pdb") :
pdb_in = f.file_object
user_phil.append(interpreter.process(arg="pdb_file=%s" % f.file_name))
elif (f.file_type == "hkl") :
hkl_in = f.file_object
user_phil.append(interpreter.process(arg="hkl_file=%s" % f.file_name))
elif (f.file_type == "phil") :
user_phil.append(f.file_object)
else :
try :
arg_phil = interpreter.process(arg=arg)
except RuntimeError :
print >> out, "ignoring uninterpretable argument '%s'" % arg
else :
user_phil.append(arg_phil)
working_phil = master_phil.fetch(sources=user_phil)
make_header("Working parameters", out=out)
working_phil.show(prefix=" ")
params_ = working_phil.extract()
params = params_.simulate_data
prepare_data(
params=params,
hkl_in=hkl_in,
pdb_in=pdb_in,
out=out)
def run (args, out=sys.stdout) :
from mmtbx.building import alternate_conformations
import mmtbx.command_line
import mmtbx.building
import iotbx.pdb.hierarchy
cmdline = mmtbx.command_line.load_model_and_data(
args=args,
master_phil=get_master_phil(),
process_pdb_file=True,
create_fmodel=True,
out=out,
usage_string="""\
mmtbx.generate_disorder model.pdb data.mtz selection="resname ATP" [occ=0.6]
Perform simulatead annealing against an mFo-DFc map to generate possible
alternate conformations for a selection of atoms. For development purposes
and experimentation only.
""")
params = cmdline.params
fmodel = cmdline.fmodel
validate_params(params)
pdb_hierarchy = cmdline.pdb_hierarchy
make_header("Generating disorder", out=out)
a_c_p = cmdline.processed_pdb_file.all_chain_proxies
selection = a_c_p.selection(params.selection)
if (params.whole_residues) :
selection = iotbx.pdb.atom_selection.expand_selection_to_entire_atom_groups(
selection=selection,
pdb_atoms=pdb_hierarchy.atoms())
n_sel = selection.count(True)
assert (n_sel > 0)
print >> out, "%d atoms selected" % n_sel
selection_delete = None
if (params.selection_delete is not None) :
selection_delete = a_c_p.selection(params.selection_delete)
two_fofc_map, fofc_map = alternate_conformations.get_partial_omit_map(
fmodel=fmodel.deep_copy(),
selection=selection,
selection_delete=selection_delete,
negate_surrounding=params.negate_surrounding_sites,
map_file_name=params.output.map_file_name,
partial_occupancy=params.occ,
resolution_factor=params.resolution_factor)
target_map = fofc_map
if (params.target_map == "2mFo-DFc") :
target_map = two_fofc_map
annealer = annealing_manager(
xray_structure=fmodel.xray_structure,
pdb_hierarchy=pdb_hierarchy,
processed_pdb_file=cmdline.processed_pdb_file,
target_map=target_map,
two_fofc_map=two_fofc_map,
d_min=fmodel.f_obs().d_min(),
params=params,
selection=selection,
resolution_factor=params.resolution_factor,
out=out,
debug=params.output.debug)
sites_ref = pdb_hierarchy.atoms().extract_xyz().deep_copy()
sites_all = easy_mp.pool_map(
fixed_func=annealer,
iterable=range(params.n_confs),
processes=params.nproc)
ensemble = iotbx.pdb.hierarchy.root()
if (params.output.include_starting_model) :
sites_all.insert(0, sites_ref)
rmsds = []
for i_conf, sites_new in enumerate(sites_all) :
assert (sites_new is not None)
model = pdb_hierarchy.only_model().detached_copy()
model.atoms().set_xyz(sites_new)
model.id = str(i_conf+1)
rmsd = sites_new.select(selection).rms_difference(
sites_ref.select(selection))
print >> out, "Model %d: rmsd=%.3f" % (i_conf+1, rmsd)
rmsds.append(rmsd)
ensemble.append_model(model)
f = open(params.output.file_name, "w")
f.write(ensemble.as_pdb_string(
crystal_symmetry=fmodel.xray_structure))
f.close()
print >> out, "Wrote ensemble model to %s" % params.output.file_name
return rmsds
def run(args, out=None, verbose=True):
t0 = time.time()
if (out is None) : out = sys.stdout
from iotbx import file_reader
import iotbx.phil
cmdline = iotbx.phil.process_command_line_with_files(
args=args,
master_phil=master_phil,
pdb_file_def="model",
reflection_file_def="map_coeffs",
map_file_def="map_file",
cif_file_def="cif_file",
usage_string="""\
mmtbx.ringer model.pdb map_coeffs.mtz [cif_file ...] [options]
%s
""" % __doc__)
cmdline.work.show()
params = cmdline.work.extract()
validate_params(params)
pdb_in = file_reader.any_file(params.model, force_type="pdb")
pdb_in.check_file_type("pdb")
pdb_inp = iotbx.pdb.input(file_name=params.model)
model = mmtbx.model.manager(
model_input = pdb_inp)
crystal_symmetry_model = model.crystal_symmetry()
if crystal_symmetry_model is not None:
crystal_symmetry_model.show_summary()
hierarchy = model.get_hierarchy()
map_coeffs = map_inp = difference_map_coeffs = None
map_data, unit_cell = None, None
# get miller array if map coefficients are provided
if (params.map_coeffs is not None):
mtz_in = file_reader.any_file(params.map_coeffs, force_type="hkl")
mtz_in.check_file_type("hkl")
best_guess = None
best_labels = []
all_labels = []
for array in mtz_in.file_server.miller_arrays :
if (array.is_complex_array()):
labels = array.info().label_string()
if (labels == params.map_label):
map_coeffs = array
elif (labels == params.difference_map_label):
difference_map_coeffs = array
else :
if (params.map_label is None):
all_labels.append(labels)
if (labels.startswith("2FOFCWT") or labels.startswith("2mFoDFc") or
labels.startswith("FWT")):
best_guess = array
best_labels.append(labels)
if (params.difference_map_label is None):
if (labels.startswith("FOFCWT") or labels.startswith("DELFWT")):
difference_map_coeffs = array
if (map_coeffs is None):
if (len(all_labels) == 0):
raise Sorry("No valid (pre-weighted) map coefficients found in file.")
elif (best_guess is None):
raise Sorry("Couldn't automatically determine appropriate map labels. "+
"Choices:\n %s" % " \n".join(all_labels))
elif (len(best_labels) > 1):
raise Sorry("Multiple appropriate map coefficients found in file. "+
"Choices:\n %s" % "\n ".join(best_labels))
map_coeffs = best_guess
print(" Guessing %s for input map coefficients" % best_labels[0], file=out)
# get map_inp object and do sanity checks if map is provided
else :
ccp4_map_in = file_reader.any_file(params.map_file, force_type="ccp4_map")
ccp4_map_in.check_file_type("ccp4_map")
map_inp = ccp4_map_in.file_object
base = map_model_manager(
map_manager = map_inp,
model = model,
ignore_symmetry_conflicts = params.ignore_symmetry_conflicts)
cs_consensus = base.crystal_symmetry()
hierarchy = base.model().get_hierarchy()
map_data = base.map_data()
unit_cell = map_inp.grid_unit_cell()
hierarchy.atoms().reset_i_seq()
make_header("Iterating over residues", out=out)
t1 = time.time()
results = iterate_over_residues(
pdb_hierarchy=hierarchy,
map_coeffs=map_coeffs,
difference_map_coeffs=difference_map_coeffs,
map_data = map_data,
unit_cell = unit_cell,
params=params,
log=out).results
t2 = time.time()
if (verbose):
print("Time excluding I/O: %8.1fs" % (t2 - t1), file=out)
print("Overall runtime: %8.1fs" % (t2 - t0), file=out)
if (params.output_base is None):
pdb_base = os.path.basename(params.model)
params.output_base = os.path.splitext(pdb_base)[0] + "_ringer"
easy_pickle.dump("%s.pkl" % params.output_base, results)
print("Wrote %s.pkl" % params.output_base, file=out)
csv = "\n".join([ r.format_csv() for r in results ])
open("%s.csv" % params.output_base, "w").write(csv)
print("Wrote %s.csv" % params.output_base, file=out)
print("\nReference:", file=out)
print("""\
Lang PT, Ng HL, Fraser JS, Corn JE, Echols N, Sales M, Holton JM, Alber T.
Automated electron-density sampling reveals widespread conformational
polymorphism in proteins. Protein Sci. 2010 Jul;19(7):1420-31. PubMed PMID:
20499387""", file=out)
if (params.gui):
run_app(results)
else :
return results
def make_header(line, out=None):
if (out is None): out = sys.stdout
if (enable_show_process_info):
show_process_info(out=out)
str_utils.make_header(line, out=out, header_len=80)
def start_coot_and_wait(pdb_file,
map_file,
data_file,
work_dir=None,
coot_cmd="coot",
needs_rebuild=False,
log=None):
if (log is None): log = sys.stdout
if (work_dir is None): work_dir = os.getcwd()
if (not os.path.isdir(work_dir)):
os.makedirs(work_dir)
import mmtbx.maps.utils
from libtbx.str_utils import make_header
from libtbx import easy_run
from libtbx import group_args
import cootbx
base_script = __file__.replace(".pyc", ".py")
os.chdir(work_dir)
if (os.path.exists("coot_out_tmp.pdb")):
os.remove("coot_out_tmp.pdb")
if (os.path.exists("coot_out.pdb")):
os.remove("coot_out.pdb")
f = open("edit_in_coot.py", "w")
f.write(open(base_script).read())
f.write("\n")
f.write("import coot\n")
cootbx.write_disable_nomenclature_errors(f)
f.write("m = manager(\"%s\", \"%s\", needs_rebuild=%s)\n" %
(pdb_file, map_file, needs_rebuild))
f.close()
make_header("Interactive editing in Coot", log)
easy_run.call("\"%s\" --no-state-script --script edit_in_coot.py &" %
coot_cmd)
print >> log, " Waiting for coot_out_tmp.pdb to appear at %s" % \
str(time.asctime())
base_dir = os.path.dirname(pdb_file)
tmp_file = os.path.join(base_dir, "coot_out_tmp.pdb")
edit_file = os.path.join(base_dir, "coot_tmp_edits.pdb")
maps_file = os.path.join(base_dir, ".NEW_MAPS")
while (True):
if (os.path.isfile(tmp_file)):
print >> log, " Coot editing complete at %s" % str(time.asctime())
break
elif (os.path.isfile(maps_file)):
t1 = time.time()
assert os.path.isfile(edit_file)
mmtbx.maps.utils.create_map_from_pdb_and_mtz(
pdb_file=edit_file,
mtz_file=data_file,
output_file=os.path.join(base_dir, "maps_for_coot.mtz"),
fill=True,
out=log)
t2 = time.time()
print >> log, "Calculated new map coefficients in %.1fs" % (t2 -
t1)
os.remove(maps_file)
else:
time.sleep(t_wait / 1000.)
shutil.move(tmp_file, "coot_out.pdb")
mmtbx.maps.utils.create_map_from_pdb_and_mtz(
pdb_file="coot_out.pdb",
mtz_file=data_file,
output_file="coot_out_maps.mtz",
fill=True,
out=log)
new_model = os.path.join(work_dir, "coot_out.pdb")
new_map = os.path.join(work_dir, "coot_out_maps.mtz")
skip_rebuild = None
if (needs_rebuild):
if (os.path.isfile(os.path.join(base_dir, "NO_BUILD"))):
skip_rebuild = True
else:
skip_rebuild = False
return group_args(pdb_file=new_model,
map_file=new_map,
skip_rebuild=skip_rebuild)
def run (args, out=None, verbose=True) :
t0 = time.time()
if (out is None) : out = sys.stdout
from iotbx import file_reader
import iotbx.phil
cmdline = iotbx.phil.process_command_line_with_files(
args=args,
master_phil=master_phil,
pdb_file_def="model",
reflection_file_def="map_coeffs",
map_file_def="map_file",
cif_file_def="cif_file",
usage_string="""\
mmtbx.ringer model.pdb map_coeffs.mtz [cif_file ...] [options]
%s
""" % __doc__)
cmdline.work.show()
params = cmdline.work.extract()
validate_params(params)
pdb_in = file_reader.any_file(params.model, force_type="pdb")
pdb_in.check_file_type("pdb")
hierarchy = pdb_in.file_object.hierarchy
hierarchy.atoms().reset_i_seq()
map_coeffs = ccp4_map = difference_map_coeffs = None
if (params.map_coeffs is not None) :
mtz_in = file_reader.any_file(params.map_coeffs, force_type="hkl")
mtz_in.check_file_type("hkl")
best_guess = None
best_labels = []
all_labels = []
for array in mtz_in.file_server.miller_arrays :
if (array.is_complex_array()) :
labels = array.info().label_string()
if (labels == params.map_label) :
map_coeffs = array
elif (labels == params.difference_map_label) :
difference_map_coeffs = array
else :
if (params.map_label is None) :
all_labels.append(labels)
if (labels.startswith("2FOFCWT") or labels.startswith("2mFoDFc") or
labels.startswith("FWT")) :
best_guess = array
best_labels.append(labels)
if (params.difference_map_label is None) :
if (labels.startswith("FOFCWT") or labels.startswith("DELFWT")) :
difference_map_coeffs = array
if (map_coeffs is None) :
if (len(all_labels) == 0) :
raise Sorry("No valid (pre-weighted) map coefficients found in file.")
elif (best_guess is None) :
raise Sorry("Couldn't automatically determine appropriate map labels. "+
"Choices:\n %s" % " \n".join(all_labels))
elif (len(best_labels) > 1) :
raise Sorry("Multiple appropriate map coefficients found in file. "+
"Choices:\n %s" % "\n ".join(best_labels))
map_coeffs = best_guess
print >> out, " Guessing %s for input map coefficients" % best_labels[0]
else :
ccp4_map_in = file_reader.any_file(params.map_file, force_type="ccp4_map")
ccp4_map_in.check_file_type("ccp4_map")
ccp4_map = ccp4_map_in.file_object
make_header("Iterating over residues", out=out)
t1 = time.time()
results = iterate_over_residues(
pdb_hierarchy=hierarchy,
map_coeffs=map_coeffs,
difference_map_coeffs=difference_map_coeffs,
ccp4_map=ccp4_map,
params=params,
log=out).results
t2 = time.time()
if (verbose) :
print >> out, "Time excluding I/O: %8.1fs" % (t2 - t1)
print >> out, "Overall runtime: %8.1fs" % (t2 - t0)
if (params.output_base is None) :
pdb_base = os.path.basename(params.model)
params.output_base = os.path.splitext(pdb_base)[0] + "_ringer"
easy_pickle.dump("%s.pkl" % params.output_base, results)
print >> out, "Wrote %s.pkl" % params.output_base
csv = "\n".join([ r.format_csv() for r in results ])
open("%s.csv" % params.output_base, "w").write(csv)
print >> out, "Wrote %s.csv" % params.output_base
print >> out, "\nReference:"
print >> out, """\
Lang PT, Ng HL, Fraser JS, Corn JE, Echols N, Sales M, Holton JM, Alber T.
Automated electron-density sampling reveals widespread conformational
polymorphism in proteins. Protein Sci. 2010 Jul;19(7):1420-31. PubMed PMID:
20499387"""
if (params.gui) :
run_app(results)
else :
return results
def __init__(self, params, hkl_in=None, pdb_in=None, out=sys.stdout):
adopt_init_args(self, locals())
self.params = params
self.out = out
self.pdb_hierarchy = None
if (params.pdb_file is None) and (params.hkl_file is None):
raise Sorry("No PDB file specified.")
if (params.generate_noise.add_noise) and (params.hkl_file is None):
if (params.generate_noise.noise_profile_file is None):
raise Sorry(
"noise_profile_file required when add_noise=True and "
"hkl_file is undefined.")
if (pdb_in is None) and (params.pdb_file is not None):
f = file_reader.any_file(params.pdb_file, force_type="pdb")
f.assert_file_type("pdb")
self.pdb_in = f.file_object
if (self.hkl_in is None) and (params.hkl_file is not None):
f = file_reader.any_file(params.hkl_File, force_type="hkl")
f.assert_file_type("hkl")
self.hkl_in = f.file_object
if (self.pdb_in is not None):
self.pdb_hierarchy = self.pdb_in.hierarchy
if (self.hkl_in is not None):
make_header("Extracting experimental data", out=sys.stdout)
f_raw, r_free = self.from_hkl()
elif (self.pdb_in is not None):
make_header("Generating fake data with phenix.fmodel",
out=sys.stdout)
f_raw, r_free = self.from_pdb()
if (params.r_free_flags.file_name is not None):
f_raw, r_free = self.import_r_free_flags(f_raw)
self.r_free = r_free
make_header("Applying low-resolution filtering", out=sys.stdout)
print(" Target resolution: %.2f A" % params.d_min, file=out)
self.n_residues, self.n_bases = None, None
if (self.pdb_in is not None):
self.n_residues, self.n_bases = get_counts(self.pdb_hierarchy)
#if (params.auto_adjust):
# if (pdb_in is None):
# raise Sorry("You must supply a PDB file when auto_adjust=True.")
self.f_out = self.truncate_data(f_raw)
if (params.generate_noise.add_noise):
make_header("Adding noise using sigma profile", out=sys.stdout)
if (self.f_out.sigmas() is None):
if (self.pdb_in is not None):
iso_scale, aniso_scale = wilson_scaling(
self.f_out, self.n_residues, self.n_bases)
i_obs = create_sigmas(f_obs=self.f_out,
params=params.generate_noise,
wilson_b=iso_scale.b_wilson,
return_as_amplitudes=False)
apply_sigma_noise(i_obs)
self.f_out = i_obs.f_sq_as_f()
make_header("Done processing", out=sys.stdout)
print(" Completeness after processing: %.2f%%" %
(self.f_out.completeness() * 100.),
file=out)
print(" Final resolution: %.2f A" % self.f_out.d_min(), file=out)
if (self.pdb_in is not None):
iso_scale, aniso_scale = wilson_scaling(self.f_out,
self.n_residues,
self.n_bases)
print("", file=out)
print(" Scaling statistics for output data:", file=out)
show_b_factor_info(iso_scale, aniso_scale, out=out)
print("", file=out)
self.write_output()
def __init__(self,
args,
master_phil,
out=sys.stdout,
process_pdb_file=True,
require_data=True,
create_fmodel=True,
prefer_anomalous=None,
force_non_anomalous=False,
set_wavelength_from_model_header=False,
set_inelastic_form_factors=None,
usage_string=None,
create_log_buffer=False,
remove_unknown_scatterers=False,
generate_input_phil=False):
import mmtbx.monomer_library.pdb_interpretation
import mmtbx.monomer_library.server
import mmtbx.utils
import mmtbx.model
from iotbx import crystal_symmetry_from_any
import iotbx.phil
if generate_input_phil:
from six import string_types
assert isinstance(master_phil, string_types)
master_phil = generate_master_phil_with_inputs(
phil_string=master_phil)
if isinstance(master_phil, str):
master_phil = iotbx.phil.parse(master_phil)
if (usage_string is not None):
if (len(args) == 0) or ("--help" in args):
raise Usage("""%s\n\nFull parameters:\n%s""" %
(usage_string, master_phil.as_str(prefix=" ")))
if (force_non_anomalous):
assert (not prefer_anomalous)
assert (set_inelastic_form_factors in [None, "sasaki", "henke"])
self.args = args
self.master_phil = master_phil
self.processed_pdb_file = self.pdb_inp = None
self.pdb_hierarchy = self.xray_structure = None
self.geometry = None
self.sequence = None
self.fmodel = None
self.f_obs = None
self.r_free_flags = None
self.intensity_flag = None
self.raw_data = None
self.raw_flags = None
self.test_flag_value = None
self.miller_arrays = None
self.hl_coeffs = None
self.cif_objects = []
self.log = out
if ("--quiet" in args) or ("quiet=True" in args):
self.log = null_out()
elif create_log_buffer:
self.log = multi_out()
self.log.register(label="stdout", file_object=out)
self.log.register(label="log_buffer", file_object=StringIO())
make_header("Collecting inputs", out=self.log)
cmdline = iotbx.phil.process_command_line_with_files(
args=args,
master_phil=master_phil,
pdb_file_def="input.pdb.file_name",
reflection_file_def="input.xray_data.file_name",
cif_file_def="input.monomers.file_name",
seq_file_def="input.sequence")
self.working_phil = cmdline.work
params = self.working_phil.extract()
if len(params.input.pdb.file_name) == 0:
raise Sorry("At least one PDB file is required as input.")
self.cif_file_names = params.input.monomers.file_name
self.pdb_file_names = params.input.pdb.file_name
# SYMMETRY HANDLING - PDB FILES
self.crystal_symmetry = pdb_symm = None
for pdb_file_name in params.input.pdb.file_name:
pdb_symm = crystal_symmetry_from_any.extract_from(pdb_file_name)
if (pdb_symm is not None):
break
# DATA INPUT
data_and_flags = hkl_symm = hkl_in = None
if (params.input.xray_data.file_name is None):
if (require_data):
raise Sorry(
"At least one reflections file is required as input.")
else:
# FIXME this may still require that the data file has full crystal
# symmetry defined (although for MTZ input this will not be a problem)
make_sub_header("Processing X-ray data", out=self.log)
hkl_in = file_reader.any_file(params.input.xray_data.file_name)
hkl_in.check_file_type("hkl")
hkl_server = hkl_in.file_server
symm = hkl_server.miller_arrays[0].crystal_symmetry()
if ((symm is None) or (symm.space_group() is None)
or (symm.unit_cell() is None)):
if (pdb_symm is not None):
from iotbx.reflection_file_utils import reflection_file_server
print(
"No symmetry in X-ray data file - using PDB symmetry:",
file=self.log)
pdb_symm.show_summary(f=out, prefix=" ")
hkl_server = reflection_file_server(
crystal_symmetry=pdb_symm,
reflection_files=[hkl_in.file_object])
else:
raise Sorry(
"No crystal symmetry information found in input files."
)
if (hkl_server is None):
hkl_server = hkl_in.file_server
data_and_flags = mmtbx.utils.determine_data_and_flags(
reflection_file_server=hkl_server,
parameters=params.input.xray_data,
data_parameter_scope="input.xray_data",
flags_parameter_scope="input.xray_data.r_free_flags",
prefer_anomalous=prefer_anomalous,
force_non_anomalous=force_non_anomalous,
log=self.log)
self.intensity_flag = data_and_flags.intensity_flag
self.raw_data = data_and_flags.raw_data
self.raw_flags = data_and_flags.raw_flags
self.test_flag_value = data_and_flags.test_flag_value
self.f_obs = data_and_flags.f_obs
self.r_free_flags = data_and_flags.r_free_flags
self.miller_arrays = hkl_in.file_server.miller_arrays
hkl_symm = self.raw_data.crystal_symmetry()
if len(self.cif_file_names) > 0:
for file_name in self.cif_file_names:
cif_obj = mmtbx.monomer_library.server.read_cif(
file_name=file_name)
self.cif_objects.append((file_name, cif_obj))
# SYMMETRY HANDLING - COMBINED
if (hkl_symm is not None):
use_symmetry = hkl_symm
# check for weird crystal symmetry
# modified from mmtbx.command_line.secondary_structure_restraints
# plan to centralize functionality in another location
# -------------------------------------------------------------------------
cs = pdb_symm
corrupted_cs = False
if cs is not None:
if [cs.unit_cell(), cs.space_group()].count(None) > 0:
corrupted_cs = True
cs = None
elif cs.unit_cell().volume() < 10:
corrupted_cs = True
cs = None
if cs is None:
if corrupted_cs:
print("Symmetry information is corrupted,", end=' ', file=out)
else:
print("Symmetry information was not found,", end=' ', file=out)
if (hkl_symm is not None):
print("using symmetry from data.", file=out)
cs = hkl_symm
else:
print("putting molecule in P1 box.", file=out)
pdb_combined = iotbx.pdb.combine_unique_pdb_files(
file_names=self.pdb_file_names)
pdb_structure = iotbx.pdb.input(source_info=None,
lines=flex.std_string(
pdb_combined.raw_records))
atoms = pdb_structure.atoms()
box = uctbx.non_crystallographic_unit_cell_with_the_sites_in_its_center(
sites_cart=atoms.extract_xyz(), buffer_layer=3)
atoms.set_xyz(new_xyz=box.sites_cart)
cs = box.crystal_symmetry()
pdb_symm = cs
# -------------------------------------------------------------------------
from iotbx.symmetry import combine_model_and_data_symmetry
self.crystal_symmetry = combine_model_and_data_symmetry(
model_symmetry=pdb_symm, data_symmetry=hkl_symm)
if (self.crystal_symmetry is not None) and (self.f_obs is not None):
self.f_obs = self.f_obs.customized_copy(
crystal_symmetry=self.crystal_symmetry).eliminate_sys_absent(
).set_info(self.f_obs.info())
self.r_free_flags = self.r_free_flags.customized_copy(
crystal_symmetry=self.crystal_symmetry).eliminate_sys_absent(
).set_info(self.r_free_flags.info())
# EXPERIMENTAL PHASES
target_name = "ml"
if hasattr(params.input, "experimental_phases"):
flag = params.input.use_experimental_phases
if (flag in [True, Auto]):
phases_file = params.input.experimental_phases.file_name
if (phases_file is None):
phases_file = params.input.xray_data.file_name
phases_in = hkl_in
else:
phases_in = file_reader.any_file(phases_file)
phases_in.check_file_type("hkl")
phases_in.file_server.err = self.log # redirect error output
space_group = self.crystal_symmetry.space_group()
point_group = space_group.build_derived_point_group()
hl_coeffs = mmtbx.utils.determine_experimental_phases(
reflection_file_server=phases_in.file_server,
parameters=params.input.experimental_phases,
log=self.log,
parameter_scope="input.experimental_phases",
working_point_group=point_group,
symmetry_safety_check=True)
if (hl_coeffs is not None):
hl_coeffs = hl_coeffs.map_to_asu()
if hl_coeffs.anomalous_flag():
if (not self.f_obs.anomalous_flag()):
hl_coeffs = hl_coeffs.average_bijvoet_mates()
elif self.f_obs.anomalous_flag():
hl_coeffs = hl_coeffs.generate_bijvoet_mates()
self.hl_coeffs = hl_coeffs.matching_set(
other=self.f_obs, data_substitute=(0, 0, 0, 0))
target_name = "mlhl"
# PDB INPUT
self.unknown_residues_flag = False
self.unknown_residues_error_message = False
pdb_combined = mmtbx.utils.combine_unique_pdb_files(
file_names=params.input.pdb.file_name, )
pdb_combined.report_non_unique(out=self.log)
pdb_raw_records = pdb_combined.raw_records
try:
self.pdb_inp = iotbx.pdb.input(
source_info=None, lines=flex.std_string(pdb_raw_records))
except ValueError as e:
raise Sorry("Model format (PDB or mmCIF) error:\n%s" % str(e))
if (remove_unknown_scatterers):
h = self.pdb_inp.construct_hierarchy()
known_sel = h.atom_selection_cache().selection("not element X")
if known_sel.count(False) > 0:
self.pdb_inp = iotbx.pdb.input(
source_info=None,
lines=h.select(known_sel).as_pdb_string())
model_params = mmtbx.model.manager.get_default_pdb_interpretation_params(
)
pdb_interp_params = getattr(params, "pdb_interpretation", None)
if pdb_interp_params is None:
pdb_interp_params = iotbx.phil.parse(
input_string=mmtbx.monomer_library.pdb_interpretation.
grand_master_phil_str,
process_includes=True).extract()
pdb_interp_params = pdb_interp_params.pdb_interpretation
model_params.pdb_interpretation = pdb_interp_params
stop_for_unknowns = getattr(pdb_interp_params, "stop_for_unknowns",
False) or remove_unknown_scatterers
if not process_pdb_file:
stop_for_unknowns = True and not remove_unknown_scatterers
self.model = mmtbx.model.manager(
model_input=self.pdb_inp,
crystal_symmetry=self.crystal_symmetry,
restraint_objects=self.cif_objects,
pdb_interpretation_params=model_params,
process_input=False,
stop_for_unknowns=stop_for_unknowns,
log=self.log)
if process_pdb_file:
make_sub_header("Processing PDB file(s)", out=self.log)
self.model.process_input_model(make_restraints=True)
full_grm = self.model.get_restraints_manager()
self.geometry = full_grm.geometry
self.processed_pdb_file = self.model._processed_pdb_file # to remove later XXX
self.xray_structure = self.model.get_xray_structure()
self.pdb_hierarchy = self.model.get_hierarchy()
self.pdb_hierarchy.atoms().reset_i_seq()
# wavelength
if (params.input.energy is not None):
if (params.input.wavelength is not None):
raise Sorry("Both wavelength and energy have been specified!")
params.input.wavelength = 12398.424468024265 / params.input.energy
if (set_wavelength_from_model_header
and params.input.wavelength is None):
wavelength = self.pdb_inp.extract_wavelength()
if (wavelength is not None):
print("", file=self.log)
print("Using wavelength = %g from PDB header" % wavelength,
file=self.log)
params.input.wavelength = wavelength
# set scattering table
if (data_and_flags is not None):
self.model.setup_scattering_dictionaries(
scattering_table=params.input.scattering_table,
d_min=self.f_obs.d_min(),
log=self.log,
set_inelastic_form_factors=set_inelastic_form_factors,
iff_wavelength=params.input.wavelength)
self.xray_structure.show_summary(f=self.log)
# FMODEL SETUP
if (create_fmodel) and (data_and_flags is not None):
make_sub_header("F(model) initialization", out=self.log)
skip_twin_detection = getattr(params.input, "skip_twin_detection",
True)
twin_law = getattr(params.input, "twin_law", None)
if (twin_law is Auto):
if (self.hl_coeffs is not None):
raise Sorry(
"Automatic twin law determination not supported when "
+ "experimental phases are used.")
elif (not skip_twin_detection):
twin_law = Auto
if (twin_law is Auto):
print("Twinning will be detected automatically.",
file=self.log)
self.fmodel = mmtbx.utils.fmodel_simple(
xray_structures=[self.xray_structure],
scattering_table=params.input.scattering_table,
f_obs=self.f_obs,
r_free_flags=self.r_free_flags,
skip_twin_detection=skip_twin_detection,
target_name=target_name,
log=self.log)
else:
if ((twin_law is not None) and (self.hl_coeffs is not None)):
raise Sorry(
"Automatic twin law determination not supported when "
+ "experimental phases are used.")
self.fmodel = mmtbx.utils.fmodel_manager(
f_obs=self.f_obs,
xray_structure=self.xray_structure,
r_free_flags=self.r_free_flags,
twin_law=params.input.twin_law,
hl_coeff=self.hl_coeffs,
target_name=target_name)
self.fmodel.update_all_scales(params=None,
log=self.log,
optimize_mask=True,
show=True)
self.fmodel.info().show_rfactors_targets_scales_overall(
out=self.log)
# SEQUENCE
if (params.input.sequence is not None):
seq_file = file_reader.any_file(params.input.sequence,
force_type="seq",
raise_sorry_if_errors=True)
self.sequence = seq_file.file_object
# UNMERGED DATA
self.unmerged_i_obs = None
if hasattr(params.input, "unmerged_data"):
if (params.input.unmerged_data.file_name is not None):
self.unmerged_i_obs = load_and_validate_unmerged_data(
f_obs=self.f_obs,
file_name=params.input.unmerged_data.file_name,
data_labels=params.input.unmerged_data.labels,
log=self.log)
self.params = params
print("", file=self.log)
print("End of input processing", file=self.log)
def show(self,
out=sys.stdout,
outliers_only=True,
suppress_summary=False,
show_percentiles=False):
"""
Comprehensive output with individual outlier lists, plus summary.
"""
if (self.xtriage is not None):
self.xtriage.summarize_issues().show(out=out)
if (self.data_stats is not None):
make_header("Experimental data", out=out)
self.data_stats.show(out=out, prefix=" ")
if (self.real_space is not None):
make_sub_header("Residues with poor real-space CC", out=out)
self.real_space.show(out=out, prefix=" ")
if (self.waters is not None):
make_sub_header("Suspicious water molecules", out=out)
self.waters.show(out=out, prefix=" ")
if (self.model_stats is not None):
make_header("Model properties", out=out)
self.model_stats.show(prefix=" ", out=out)
if (self.restraints is not None):
make_header("Geometry restraints", out=out)
self.restraints.show(out=out, prefix=" ")
make_header("Molprobity validation", out=out)
if (self.ramalyze is not None):
make_sub_header("Ramachandran angles", out=out)
self.ramalyze.show(out=out,
prefix=" ",
outliers_only=outliers_only)
##### omegalyze ################################################################
if (self.omegalyze is not None):
make_sub_header("Omegalyze analysis", out=out)
self.omegalyze.show(out=out,
prefix=" ",
outliers_only=outliers_only)
##### omegalyze ################################################################
if (self.rotalyze is not None):
make_sub_header("Sidechain rotamers", out=out)
self.rotalyze.show(out=out,
prefix=" ",
outliers_only=outliers_only)
if (self.cbetadev is not None):
make_sub_header("C-beta deviations", out=out)
self.cbetadev.show(out=out,
prefix=" ",
outliers_only=outliers_only)
if (self.clashes is not None):
make_sub_header("Bad clashes", out=out)
self.clashes.show(out=out, prefix=" ")
if (self.nqh_flips is not None):
make_sub_header("Asn/Gln/His flips", out=out)
self.nqh_flips.show(out=out, prefix=" ")
if (self.rna is not None):
make_header("RNA validation", out=out)
self.rna.show(out=out, prefix=" ", outliers_only=outliers_only)
if (not suppress_summary):
make_header("Summary", out=out)
self.show_summary(out=out,
prefix=" ",
show_percentiles=show_percentiles)
return self
def process_residues (self, out=None) :
if (out is None) :
out = sys.stdout
n_res_removed = 0
n_sc_removed = 0
n_res_protein = 0
pruned = []
make_header("Pruning residues and sidechains", out=out)
for chain in self.pdb_hierarchy.models()[0].chains() :
if (not chain.is_protein()) :
continue
residue_id_hash = {}
removed_resseqs = []
if (len(chain.conformers()) > 1) :
print >> out, "WARNING: chain '%s' has multiple conformers" % chain.id
for j_seq, residue_group in enumerate(chain.residue_groups()) :
n_res_protein += 1
residue_id_hash[residue_group.resid()] = j_seq
for atom_group in residue_group.atom_groups() :
ag_id_str = id_str(chain, residue_group, atom_group)
resname = atom_group.resname
remove_atom_group = False
sidechain_atoms = []
backbone_atoms = []
for atom in atom_group.atoms() :
if (atom.name.strip() in ["N", "O", "C", "H", "CA", "CB"]) :
backbone_atoms.append(atom)
elif (not atom_group.resname in ["ALA", "GLY"]) :
sidechain_atoms.append(atom)
if (len(backbone_atoms) > 0) and (self.params.mainchain) :
mc_stats = self.get_map_stats_for_atoms(backbone_atoms)
if (mc_stats.mean_2fofc < self.params.min_backbone_2fofc) :
pruned.append(residue_summary(
chain_id=chain.id,
residue_group=residue_group,
atom_group=atom_group,
score=mc_stats.mean_2fofc,
score_type="sigma",
atoms_type="C-alpha"))
remove_atom_group = True
elif (mc_stats.mean_fofc < self.params.min_backbone_fofc) :
pruned.append(residue_summary(
chain_id=chain.id,
residue_group=residue_group,
atom_group=atom_group,
score=mc_stats.mean_fofc,
score_type="sigma",
atoms_type="C-alpha"))
remove_atom_group = True
# map values look okay - now check overall CC
if (not remove_atom_group) :
res_stats = self.get_map_stats_for_atoms(atom_group.atoms())
if (res_stats.cc < self.params.min_cc) and (self.params.mainchain):
pruned.append(residue_summary(
chain_id=chain.id,
residue_group=residue_group,
atom_group=atom_group,
score=res_stats.cc))
remove_atom_group = True
elif (len(sidechain_atoms) > 0) and (self.params.sidechains) :
# overall CC is acceptable - now look at sidechain alone
remove_sidechain = False
sc_stats = self.get_map_stats_for_atoms(sidechain_atoms)
if (sc_stats is None) :
continue
if (sc_stats.cc < self.params.min_cc_sidechain) :
pruned.append(residue_summary(
chain_id=chain.id,
residue_group=residue_group,
atom_group=atom_group,
score=sc_stats.cc,
atoms_type="sidechain"))
remove_sidechain = True
else :
if (sc_stats.mean_2fofc < self.params.min_sidechain_2fofc) :
pruned.append(residue_summary(
chain_id=chain.id,
residue_group=residue_group,
atom_group=atom_group,
score=sc_stats.mean_2fofc,
score_type="sigma",
atoms_type="sidechain"))
remove_sidechain = True
elif (sc_stats.mean_fofc < self.params.max_sidechain_fofc) :
pruned.append(residue_summary(
chain_id=chain.id,
residue_group=residue_group,
atom_group=atom_group,
score=sc_stats.mean_fofc,
score_type="sigma",
atoms_type="sidechain",
map_type="mFo-Dfc"))
remove_sidechain = True
if ((self.params.check_cgamma) and
(resname in ["ARG","LYS","TYR","TRP","PHE"])) :
c_gamma = c_delta = None
for atom in atom_group.atoms() :
if (atom.name.strip() == "CG") :
c_gamma = atom
elif (atom.name.strip() == "CD") :
c_delta = atom
if (c_gamma is not None) :
map_values = self.get_density_at_atom(c_gamma)
# FIXME this is horribly subjective, but so is the logic
# I use for manual pruning...
if ((map_values.two_fofc < 0.8) or
((map_values.two_fofc < 1.0) and
(map_values.fofc < -3.0))) :
pruned.append(residue_summary(
chain_id=chain.id,
residue_group=residue_group,
atom_group=atom_group,
score=map_values.two_fofc,
score_type="sigma",
atoms_type="sidechain",
map_type="2mFo-Dfc"))
remove_sidechain = True
if (remove_sidechain) :
assert (self.params.sidechains)
for atom in sidechain_atoms :
atom_group.remove_atom(atom)
n_sc_removed += 1
if (remove_atom_group) :
assert (self.params.mainchain)
residue_group.remove_atom_group(atom_group)
if (len(residue_group.atom_groups()) == 0) :
chain.remove_residue_group(residue_group)
n_res_removed += 1
removed_resseqs.append(residue_group.resseq_as_int())
# Final pass: remove lone single/pair residues
if ((self.params.mainchain) and
(self.params.min_fragment_size is not None)) :
n_rg = len(chain.residue_groups())
for j_seq, residue_group in enumerate(chain.residue_groups()) :
if (residue_group.icode.strip() != "") :
continue
resseq = residue_group.resseq_as_int()
remove = False
if (resseq - 1 in removed_resseqs) or (j_seq == 0) :
print "candidate:", resseq
for k in range(1, self.params.min_fragment_size+1) :
if (resseq + k in removed_resseqs) :
remove = True
break
elif ((j_seq + k) >= len(chain.residue_groups())) :
remove = True
break
if (remove) :
pruned.append(residue_summary(
chain_id=chain.id,
residue_group=residue_group,
atom_group=atom_group,
score=None))
chain.remove_residue_group(residue_group)
removed_resseqs.append(resseq)
n_res_removed += 1
for outlier in pruned :
outlier.show(out)
print >> out, "Removed %d residues and %d sidechains" % (n_res_removed,
n_sc_removed)
return group_args(
n_res_protein=n_res_protein,
n_res_removed=n_res_removed,
n_sc_removed=n_sc_removed,
outliers=pruned)
def __init__ (self,
args,
master_phil,
out=sys.stdout,
process_pdb_file=True,
require_data=True,
create_fmodel=True,
prefer_anomalous=None,
force_non_anomalous=False,
set_wavelength_from_model_header=False,
set_inelastic_form_factors=None,
usage_string=None,
create_log_buffer=False,
remove_unknown_scatterers=False,
generate_input_phil=False) :
import mmtbx.monomer_library.pdb_interpretation
import mmtbx.monomer_library.server
import mmtbx.utils
from iotbx import crystal_symmetry_from_any
from iotbx import file_reader
import iotbx.phil
if generate_input_phil :
assert isinstance(master_phil, basestring)
master_phil = generate_master_phil_with_inputs(phil_string=master_phil)
if isinstance(master_phil, str) :
master_phil = iotbx.phil.parse(master_phil)
if (usage_string is not None) :
if (len(args) == 0) or ("--help" in args) :
raise Usage("""%s\n\nFull parameters:\n%s""" % (usage_string,
master_phil.as_str(prefix=" ")))
if (force_non_anomalous) :
assert (not prefer_anomalous)
assert (set_inelastic_form_factors in [None, "sasaki", "henke"])
self.args = args
self.master_phil = master_phil
self.processed_pdb_file = self.pdb_inp = None
self.pdb_hierarchy = self.xray_structure = None
self.geometry = None
self.sequence = None
self.fmodel = None
self.f_obs = None
self.r_free_flags = None
self.intensity_flag = None
self.raw_data = None
self.raw_flags = None
self.test_flag_value = None
self.miller_arrays = None
self.hl_coeffs = None
self.cif_objects = []
self.log = out
if ("--quiet" in args) or ("quiet=True" in args) :
self.log = null_out()
elif create_log_buffer :
self.log = multi_out()
self.log.register(label="stdout", file_object=out)
self.log.register(label="log_buffer", file_object=StringIO())
make_header("Collecting inputs", out=self.log)
cmdline = iotbx.phil.process_command_line_with_files(
args=args,
master_phil=master_phil,
pdb_file_def="input.pdb.file_name",
reflection_file_def="input.xray_data.file_name",
cif_file_def="input.monomers.file_name",
seq_file_def="input.sequence")
self.working_phil = cmdline.work
params = self.working_phil.extract()
if len(params.input.pdb.file_name) == 0 :
raise Sorry("At least one PDB file is required as input.")
self.cif_file_names = params.input.monomers.file_name
self.pdb_file_names = params.input.pdb.file_name
# SYMMETRY HANDLING - PDB FILES
self.crystal_symmetry = pdb_symm = None
for pdb_file_name in params.input.pdb.file_name :
pdb_symm = crystal_symmetry_from_any.extract_from(pdb_file_name)
if (pdb_symm is not None) :
break
# DATA INPUT
data_and_flags = hkl_symm = hkl_in = None
if (params.input.xray_data.file_name is None) :
if (require_data) :
raise Sorry("At least one reflections file is required as input.")
else :
# FIXME this may still require that the data file has full crystal
# symmetry defined (although for MTZ input this will not be a problem)
make_sub_header("Processing X-ray data", out=self.log)
hkl_in = file_reader.any_file(params.input.xray_data.file_name)
hkl_in.check_file_type("hkl")
hkl_server = hkl_in.file_server
symm = hkl_server.miller_arrays[0].crystal_symmetry()
if ((symm is None) or
(symm.space_group() is None) or
(symm.unit_cell() is None)) :
if (pdb_symm is not None) :
from iotbx.reflection_file_utils import reflection_file_server
print >> self.log, \
"No symmetry in X-ray data file - using PDB symmetry:"
pdb_symm.show_summary(f=out, prefix=" ")
hkl_server = reflection_file_server(
crystal_symmetry=pdb_symm,
reflection_files=[hkl_in.file_object])
else :
raise Sorry("No crystal symmetry information found in input files.")
if (hkl_server is None) :
hkl_server = hkl_in.file_server
data_and_flags = mmtbx.utils.determine_data_and_flags(
reflection_file_server=hkl_server,
parameters=params.input.xray_data,
data_parameter_scope="input.xray_data",
flags_parameter_scope="input.xray_data.r_free_flags",
prefer_anomalous=prefer_anomalous,
force_non_anomalous=force_non_anomalous,
log=self.log)
self.intensity_flag = data_and_flags.intensity_flag
self.raw_data = data_and_flags.raw_data
self.raw_flags = data_and_flags.raw_flags
self.test_flag_value = data_and_flags.test_flag_value
self.f_obs = data_and_flags.f_obs
self.r_free_flags = data_and_flags.r_free_flags
self.miller_arrays = hkl_in.file_server.miller_arrays
hkl_symm = self.raw_data.crystal_symmetry()
if len(self.cif_file_names) > 0 :
for file_name in self.cif_file_names :
cif_obj = mmtbx.monomer_library.server.read_cif(file_name=file_name)
self.cif_objects.append((file_name, cif_obj))
# SYMMETRY HANDLING - COMBINED
if (hkl_symm is not None) :
use_symmetry = hkl_symm
from iotbx.symmetry import combine_model_and_data_symmetry
self.crystal_symmetry = combine_model_and_data_symmetry(
model_symmetry=pdb_symm,
data_symmetry=hkl_symm)
if (self.crystal_symmetry is not None) and (self.f_obs is not None) :
self.f_obs = self.f_obs.customized_copy(
crystal_symmetry=self.crystal_symmetry).eliminate_sys_absent().set_info(
self.f_obs.info())
self.r_free_flags = self.r_free_flags.customized_copy(
crystal_symmetry=self.crystal_symmetry).eliminate_sys_absent().set_info(
self.r_free_flags.info())
# EXPERIMENTAL PHASES
target_name = "ml"
if hasattr(params.input, "experimental_phases") :
flag = params.input.use_experimental_phases
if (flag in [True, Auto]) :
phases_file = params.input.experimental_phases.file_name
if (phases_file is None) :
phases_file = params.input.xray_data.file_name
phases_in = hkl_in
else :
phases_in = file_reader.any_file(phases_file)
phases_in.check_file_type("hkl")
phases_in.file_server.err = self.log # redirect error output
space_group = self.crystal_symmetry.space_group()
point_group = space_group.build_derived_point_group()
hl_coeffs = mmtbx.utils.determine_experimental_phases(
reflection_file_server = phases_in.file_server,
parameters = params.input.experimental_phases,
log = self.log,
parameter_scope = "input.experimental_phases",
working_point_group = point_group,
symmetry_safety_check = True)
if (hl_coeffs is not None) :
hl_coeffs = hl_coeffs.map_to_asu()
if hl_coeffs.anomalous_flag() :
if (not self.f_obs.anomalous_flag()) :
hl_coeffs = hl_coeffs.average_bijvoet_mates()
elif self.f_obs.anomalous_flag() :
hl_coeffs = hl_coeffs.generate_bijvoet_mates()
self.hl_coeffs = hl_coeffs.matching_set(other=self.f_obs,
data_substitute=(0,0,0,0))
target_name = "mlhl"
# PDB INPUT
self.unknown_residues_flag = False
self.unknown_residues_error_message = False
if process_pdb_file :
pdb_interp_params = getattr(params, "pdb_interpretation", None)
if (pdb_interp_params is None) :
pdb_interp_params = \
mmtbx.monomer_library.pdb_interpretation.master_params.extract()
make_sub_header("Processing PDB file(s)", out=self.log)
pdb_combined = mmtbx.utils.combine_unique_pdb_files(
file_names=params.input.pdb.file_name,)
pdb_combined.report_non_unique(out=self.log)
pdb_raw_records = pdb_combined.raw_records
processed_pdb_files_srv = mmtbx.utils.process_pdb_file_srv(
cif_objects=self.cif_objects,
pdb_interpretation_params=pdb_interp_params,
crystal_symmetry=self.crystal_symmetry,
use_neutron_distances=params.input.scattering_table=="neutron",
stop_for_unknowns=getattr(pdb_interp_params, "stop_for_unknowns",False),
log=self.log)
self.processed_pdb_file, self.pdb_inp = \
processed_pdb_files_srv.process_pdb_files(
raw_records = pdb_raw_records,
stop_if_duplicate_labels = False,
allow_missing_symmetry=\
(self.crystal_symmetry is None) and (not require_data))
error_msg = self.processed_pdb_file.all_chain_proxies.\
fatal_problems_message(
ignore_unknown_scattering_types=False,
ignore_unknown_nonbonded_energy_types=False)
if (error_msg is not None) :
self.unknown_residues_flag = True
self.unknown_residues_error_message = error_msg
self.geometry = self.processed_pdb_file.geometry_restraints_manager(
show_energies=False)
assert (self.geometry is not None)
self.xray_structure = self.processed_pdb_file.xray_structure()
chain_proxies = self.processed_pdb_file.all_chain_proxies
self.pdb_hierarchy = chain_proxies.pdb_hierarchy
else :
pdb_file_object = mmtbx.utils.pdb_file(
pdb_file_names=params.input.pdb.file_name,
cif_objects=self.cif_objects,
crystal_symmetry=self.crystal_symmetry,
log=self.log)
self.pdb_inp = pdb_file_object.pdb_inp
self.pdb_hierarchy = self.pdb_inp.construct_hierarchy()
if (remove_unknown_scatterers) :
known_sel = self.pdb_hierarchy.atom_selection_cache().selection(
"not element X")
if (known_sel.count(True) != len(known_sel)) :
self.pdb_hierarchy = self.pdb_hierarchy.select(known_sel)
self.xray_structure = self.pdb_hierarchy.extract_xray_structure(
crystal_symmetry=self.crystal_symmetry)
self.pdb_hierarchy.atoms().reset_i_seq()
if (self.xray_structure is None) :
self.xray_structure = self.pdb_inp.xray_structure_simple(
crystal_symmetry=self.crystal_symmetry)
# wavelength
if (params.input.energy is not None) :
if (params.input.wavelength is not None) :
raise Sorry("Both wavelength and energy have been specified!")
params.input.wavelength = 12398.424468024265 / params.input.energy
if (set_wavelength_from_model_header and params.input.wavelength is None) :
wavelength = self.pdb_inp.extract_wavelength()
if (wavelength is not None) :
print >> self.log, ""
print >> self.log, "Using wavelength = %g from PDB header" % wavelength
params.input.wavelength = wavelength
# set scattering table
if (data_and_flags is not None) :
self.xray_structure.scattering_type_registry(
d_min=self.f_obs.d_min(),
table=params.input.scattering_table)
if ((params.input.wavelength is not None) and
(set_inelastic_form_factors is not None)) :
self.xray_structure.set_inelastic_form_factors(
photon=params.input.wavelength,
table=set_inelastic_form_factors)
make_sub_header("xray_structure summary", out=self.log)
self.xray_structure.scattering_type_registry().show(out = self.log)
self.xray_structure.show_summary(f=self.log)
# FMODEL SETUP
if (create_fmodel) and (data_and_flags is not None) :
make_sub_header("F(model) initialization", out=self.log)
skip_twin_detection = getattr(params.input, "skip_twin_detection", None)
twin_law = getattr(params.input, "twin_law", None)
if (twin_law is Auto) :
if (self.hl_coeffs is not None) :
raise Sorry("Automatic twin law determination not supported when "+
"experimental phases are used.")
elif (skip_twin_detection is not None) :
twin_law = Auto
if (twin_law is Auto) :
print >> self.log, "Twinning will be detected automatically."
self.fmodel = mmtbx.utils.fmodel_simple(
xray_structures=[self.xray_structure],
scattering_table=params.input.scattering_table,
f_obs=self.f_obs,
r_free_flags=self.r_free_flags,
skip_twin_detection=skip_twin_detection,
target_name=target_name,
log=self.log)
else :
if ((twin_law is not None) and (self.hl_coeffs is not None)) :
raise Sorry("Automatic twin law determination not supported when "+
"experimental phases are used.")
self.fmodel = mmtbx.utils.fmodel_manager(
f_obs=self.f_obs,
xray_structure=self.xray_structure,
r_free_flags=self.r_free_flags,
twin_law=params.input.twin_law,
hl_coeff=self.hl_coeffs,
target_name=target_name)
self.fmodel.update_all_scales(
params=None,
log=self.log,
optimize_mask=True,
show=True)
self.fmodel.info().show_rfactors_targets_scales_overall(out=self.log)
# SEQUENCE
if (params.input.sequence is not None) :
seq_file = file_reader.any_file(params.input.sequence,
force_type="seq",
raise_sorry_if_errors=True)
self.sequence = seq_file.file_object
# UNMERGED DATA
self.unmerged_i_obs = None
if hasattr(params.input, "unmerged_data") :
if (params.input.unmerged_data.file_name is not None) :
self.unmerged_i_obs = load_and_validate_unmerged_data(
f_obs=self.f_obs,
file_name=params.input.unmerged_data.file_name,
data_labels=params.input.unmerged_data.labels,
log=self.log)
self.params = params
print >> self.log, ""
print >> self.log, "End of input processing"
def exercise():
from libtbx.test_utils import show_diff, Exception_expected
import cPickle
#
from libtbx.str_utils import split_keeping_spaces
assert split_keeping_spaces(s="") == []
assert split_keeping_spaces(s=" ") == [" "]
assert split_keeping_spaces(s="a") == ["a"]
assert split_keeping_spaces(s="abc") == ["abc"]
assert split_keeping_spaces(s=" a") == [" ", "a"]
assert split_keeping_spaces(s=" a") == [" ", "a"]
assert split_keeping_spaces(s=" abc") == [" ", "abc"]
assert split_keeping_spaces(s=" abc ") == [" ", "abc", " "]
assert split_keeping_spaces(s=" abc ") == [" ", "abc", " "]
assert split_keeping_spaces(s="a ") == ["a", " "]
assert split_keeping_spaces(s="a ") == ["a", " "]
assert split_keeping_spaces(s="abc ") == ["abc", " "]
assert split_keeping_spaces(s="a b") == ["a", " ", "b"]
assert split_keeping_spaces(s="a b") == ["a", " ", "b"]
assert split_keeping_spaces(s=" a b c d ") == [
" ", "a", " ", "b", " ", "c", " ", "d", " "]
#
from libtbx.str_utils import size_as_string_with_commas
assert size_as_string_with_commas(0) == "0"
assert size_as_string_with_commas(1) == "1"
assert size_as_string_with_commas(-1) == "-1"
assert size_as_string_with_commas(10) == "10"
assert size_as_string_with_commas(100) == "100"
assert size_as_string_with_commas(1000) == "1,000"
assert size_as_string_with_commas(12345) == "12,345"
assert size_as_string_with_commas(12345678) == "12,345,678"
assert size_as_string_with_commas(-12345678) == "-12,345,678"
#
from libtbx.str_utils import show_string
assert show_string("abc") == '"abc"'
assert show_string("a'c") == '"a\'c"'
assert show_string('a"c') == "'a\"c'"
assert show_string('\'"c') == '"\'\\"c"'
#
from libtbx.str_utils import prefix_each_line
assert prefix_each_line(prefix="^", lines_as_one_string="""\
hello
world""") == """\
^hello
^world"""
#
from libtbx.str_utils import prefix_each_line_suffix
assert prefix_each_line_suffix(prefix="^", lines_as_one_string="""\
hello
world""", suffix=" ") == """\
^hello
^world"""
assert prefix_each_line_suffix(prefix="^", lines_as_one_string="""\
hello
world""", suffix=" ", rstrip=False) == """\
^hello%s
^world """ % " "
#
from libtbx.str_utils import show_sorted_by_counts
import cStringIO
out = cStringIO.StringIO()
assert show_sorted_by_counts(
label_count_pairs=[("b", 3), ("a", 3), ("c", -2)],
out=out, prefix="%")
assert not show_diff(out.getvalue(), """\
%"a" 3
%"b" 3
%"c" -2
""")
out = cStringIO.StringIO()
assert show_sorted_by_counts(
label_count_pairs=[("b", -3), ("a", -3), ("c", 2)], reverse=False,
out=out, prefix="%", annotations=[None, "", "x"])
assert not show_diff(out.getvalue(), """\
%"c" 2 x
%"a" -3
%"b" -3
""")
#
from libtbx.str_utils import line_breaker
for string, expected_result in [
("", [""]),
("this is", ["this is"]),
("this is a", ["this is", "a"]),
("this is a sentence", ["this is", "a", "sentence"]),
("this is a longer sentence", ["this is", "a", "longer", "sentence"]),
("this is a very long sentence indeed",
["this is", "a very", "long", "sentence", "indeed"])]:
assert [block for block in line_breaker(string, width=7)]==expected_result
#
from libtbx.str_utils import StringIO
out1 = cStringIO.StringIO()
out2 = StringIO()
out3 = StringIO("Hello world!\n")
print >> out1, "Hello world!"
print >> out2, "Hello world!"
try :
print >> out3, "Hello world!"
except AttributeError :
pass
else :
raise Exception_expected
out4 = cPickle.loads(cPickle.dumps(out2))
out5 = cPickle.loads(cPickle.dumps(out3))
assert out4.getvalue()==out1.getvalue()==out2.getvalue()==out5.getvalue()
#
from libtbx.str_utils import reformat_terminal_text
txt1 = """
This is some
terminal-formatted
text which needs
to be reset.
"""
assert (reformat_terminal_text(txt1) ==
"This is some terminal-formatted text which needs to be reset.")
txt2 = """
This is more
terminal-formatted
text which needs
to be reset.
"""
#
from libtbx.str_utils import strip_lines, rstrip_lines
lines = [" This is more ", " terminal-formatted ", " text "]
assert (strip_lines(txt2) ==
"\nThis is more\nterminal-formatted\ntext which needs\nto be reset.")
assert (rstrip_lines(txt2) ==
"\n This is more\n terminal-formatted\n text which needs\n to be reset."
)
#
from libtbx.str_utils import expandtabs_track_columns
def check(s):
es,js = expandtabs_track_columns(s=s)
assert len(js) == len(s)
assert es == s.expandtabs()
sr = "".join([es[j] for j in js])
assert sr == s.replace("\t", " ")
check("")
check("\t")
check("\t\t")
check("\ty")
check("x\ty")
check("x\ty\tz")
check("\txy\t\tz")
check("abcdefg\txy\t\tz")
check("ab defgh\txyz\t\tu")
#
from libtbx.str_utils import format_value
assert format_value("%.4f", 1.2345678) == "1.2346"
assert format_value("%.4f", None) == " None"
assert format_value("%.4f", None, replace_none_with="---") == " ---"
#
from libtbx.str_utils import make_header
out = StringIO()
make_header("Header 1", out=out)
assert (out.getvalue() == """
=================================== Header 1 ==================================
""")
out = StringIO()
make_header("Header 2", out=out)
assert (out.getvalue() == """
=================================== Header 2 ==================================
""")
#
from libtbx.str_utils import string_representation
iset = range(130) + range(250,256)
for i in iset:
s = chr(i)
for j in iset:
ss = s + chr(j)
assert string_representation(
string=ss, preferred_quote="'", alternative_quote='"') == repr(ss)
from libtbx.str_utils import framed_output
out = StringIO()
box = framed_output(out, frame='#')
print >> box, "Hello, world!"
box.close()
assert (out.getvalue() == """
#################
# Hello, world! #
#################
""")
out = StringIO()
box = framed_output(out, frame='-', width=80, center=True,
title="Refinement stats")
box.write("r_free = 0.1234")
box.write(" ")
box.write("r_work = 0.1567")
box.close()
assert (out.getvalue() == """
|--------------------------------Refinement stats------------------------------|
| r_free = 0.1234 r_work = 0.1567 |
|------------------------------------------------------------------------------|
""")
out = StringIO()
box = framed_output(out, frame='-', width=72, prefix=" ",
title="Validation summary")
print >> box, "Overall MolProbity score: 2.56"
box.add_separator()
print >> box, """\
Ramachandran favored: 97.5 %
outliers: 2.5 %
Rotamer outliers: 5.9 %
Clashscore: 10.9"""
assert (out.getvalue() == "")
del box
assert (out.getvalue() == """
|-Validation summary---------------------------------------------------|
| Overall MolProbity score: 2.56 |
|----------------------------------------------------------------------|
| Ramachandran favored: 97.5 % |
| outliers: 2.5 % |
| Rotamer outliers: 5.9 % |
| Clashscore: 10.9 |
|----------------------------------------------------------------------|
""")
from libtbx.str_utils import print_message_in_box
out = StringIO()
print_message_in_box(
message="This is some terminal-formatted text which needs to be reset.",
out=out,
width=32,
center=True,
prefix=" ",
frame='*')
assert (out.getvalue() == """
********************************
* This is some *
* terminal-formatted text *
* which needs to be reset. *
********************************
""")
def show (self, out=sys.stdout, outliers_only=True, suppress_summary=False,
show_percentiles=False) :
"""
Comprehensive output with individual outlier lists, plus summary.
"""
if (self.xtriage is not None) :
self.xtriage.summarize_issues().show(out=out)
if (self.data_stats is not None) :
make_header("Experimental data", out=out)
self.data_stats.show(out=out, prefix=" ")
if (self.real_space is not None) :
make_sub_header("Residues with poor real-space CC", out=out)
self.real_space.show(out=out, prefix=" ")
if (self.waters is not None) :
make_sub_header("Suspicious water molecules", out=out)
self.waters.show(out=out, prefix=" ")
if (self.model_stats is not None) :
make_header("Model properties", out=out)
self.model_stats.show(prefix=" ", out=out)
if (self.restraints is not None) :
make_header("Geometry restraints", out=out)
self.restraints.show(out=out, prefix=" ")
make_header("Molprobity validation", out=out)
if (self.ramalyze is not None) :
make_sub_header("Ramachandran angles", out=out)
self.ramalyze.show(out=out, prefix=" ", outliers_only=outliers_only)
##### omegalyze ################################################################
if (self.omegalyze is not None) :
make_sub_header("Omegalyze analysis", out=out)
self.omegalyze.show(out=out, prefix=" ", outliers_only=outliers_only)
##### omegalyze ################################################################
if (self.rotalyze is not None) :
make_sub_header("Sidechain rotamers", out=out)
self.rotalyze.show(out=out, prefix=" ", outliers_only=outliers_only)
if (self.cbetadev is not None) :
make_sub_header("C-beta deviations", out=out)
self.cbetadev.show(out=out, prefix=" ", outliers_only=outliers_only)
if (self.clashes is not None) :
make_sub_header("Bad clashes", out=out)
self.clashes.show(out=out, prefix=" ")
if (self.nqh_flips is not None) :
make_sub_header("Asn/Gln/His flips", out=out)
self.nqh_flips.show(out=out, prefix=" ")
if (self.rna is not None) :
make_header("RNA validation", out=out)
self.rna.show(out=out, prefix=" ", outliers_only=outliers_only)
if (not suppress_summary) :
make_header("Summary", out=out)
self.show_summary(out=out, prefix=" ",
show_percentiles=show_percentiles)
return self
def make_header(line, out=None):
if (out is None): out = sys.stdout
if (enable_show_process_info):
show_process_info(out=out)
str_utils.make_header(line, out=out, header_len=80)
def run(args, out=None):
if (out is None):
out = sys.stdout
make_header("mmtbx.simulate_low_res_data", out=out)
print("""
For generation of realistic data (model-based, or using real
high-resolution data) for methods development.
*********************************** WARNING: ***********************************
this is an experimental program - definitely NOT bug-free.
Use at your own risk!
Usage:
mmtbx.simulate_low_res_data model.pdb [options...]
(generate data from a PDB file)
mmtbx.simulate_low_res_data highres.mtz [model.pdb] [options...]
(truncate high-resolution data)
mmtbx.simulate_low_res_data --help
(print full parameters with additional info)
""",
file=out)
if (len(args) == 0) or ("--help" in args):
print("# full parameters:", file=out)
if ("--help" in args):
master_phil.show(attributes_level=1)
else:
master_phil.show()
return
from iotbx import file_reader
interpreter = master_phil.command_line_argument_interpreter(
home_scope="simulate_data")
pdb_in = None
pdb_hierarchy = None
hkl_in = None
user_phil = []
for arg in args:
if os.path.isfile(arg):
f = file_reader.any_file(arg)
if (f.file_type == "pdb"):
pdb_in = f.file_object
user_phil.append(
interpreter.process(arg="pdb_file=%s" % f.file_name))
elif (f.file_type == "hkl"):
hkl_in = f.file_object
user_phil.append(
interpreter.process(arg="hkl_file=%s" % f.file_name))
elif (f.file_type == "phil"):
user_phil.append(f.file_object)
else:
try:
arg_phil = interpreter.process(arg=arg)
except RuntimeError:
print("ignoring uninterpretable argument '%s'" % arg, file=out)
else:
user_phil.append(arg_phil)
working_phil = master_phil.fetch(sources=user_phil)
make_header("Working parameters", out=out)
working_phil.show(prefix=" ")
params_ = working_phil.extract()
params = params_.simulate_data
prepare_data(params=params, hkl_in=hkl_in, pdb_in=pdb_in, out=out)
def start_coot_and_wait (
pdb_file,
map_file,
data_file,
work_dir=None,
coot_cmd="coot",
needs_rebuild=False,
log=None) :
if (log is None) : log = sys.stdout
if (work_dir is None) : work_dir = os.getcwd()
if (not os.path.isdir(work_dir)) :
os.makedirs(work_dir)
import mmtbx.maps.utils
from libtbx.str_utils import make_header
from libtbx import easy_run
from libtbx import group_args
import cootbx
base_script = __file__.replace(".pyc", ".py")
os.chdir(work_dir)
if (os.path.exists("coot_out_tmp.pdb")) :
os.remove("coot_out_tmp.pdb")
if (os.path.exists("coot_out.pdb")) :
os.remove("coot_out.pdb")
f = open("edit_in_coot.py", "w")
f.write(open(base_script).read())
f.write("\n")
f.write("import coot\n")
cootbx.write_disable_nomenclature_errors(f)
f.write("m = manager(\"%s\", \"%s\", needs_rebuild=%s)\n" %
(pdb_file, map_file, needs_rebuild))
f.close()
make_header("Interactive editing in Coot", log)
easy_run.call("\"%s\" --no-state-script --script edit_in_coot.py &" %
coot_cmd)
print >> log, " Waiting for coot_out_tmp.pdb to appear at %s" % \
str(time.asctime())
base_dir = os.path.dirname(pdb_file)
tmp_file = os.path.join(base_dir, "coot_out_tmp.pdb")
edit_file = os.path.join(base_dir, "coot_tmp_edits.pdb")
maps_file = os.path.join(base_dir, ".NEW_MAPS")
while (True) :
if (os.path.isfile(tmp_file)) :
print >> log, " Coot editing complete at %s" % str(time.asctime())
break
elif (os.path.isfile(maps_file)) :
t1 = time.time()
assert os.path.isfile(edit_file)
mmtbx.maps.utils.create_map_from_pdb_and_mtz(
pdb_file=edit_file,
mtz_file=data_file,
output_file=os.path.join(base_dir, "maps_for_coot.mtz"),
fill=True,
out=log)
t2 = time.time()
print >> log, "Calculated new map coefficients in %.1fs" % (t2-t1)
os.remove(maps_file)
else :
time.sleep(t_wait/1000.)
shutil.move(tmp_file, "coot_out.pdb")
mmtbx.maps.utils.create_map_from_pdb_and_mtz(
pdb_file="coot_out.pdb",
mtz_file=data_file,
output_file="coot_out_maps.mtz",
fill=True,
out=log)
new_model = os.path.join(work_dir, "coot_out.pdb")
new_map = os.path.join(work_dir, "coot_out_maps.mtz")
skip_rebuild = None
if (needs_rebuild) :
if (os.path.isfile(os.path.join(base_dir, "NO_BUILD"))) :
skip_rebuild = True
else :
skip_rebuild = False
return group_args(
pdb_file=new_model,
map_file=new_map,
skip_rebuild=skip_rebuild)
def find_peaks_holes (
fmodel,
pdb_hierarchy,
params=None,
map_cutoff=3.0,
anom_map_cutoff=3.0,
filter_peaks_by_2fofc=None,
use_phaser_if_available=True,
return_llg_map=False,
include_peaks_near_model=False,
out=None) :
"""
Find peaks and holes in mFo-DFc map, plus flag solvent atoms with
suspiciously high mFo-DFc values, plus anomalous peaks if anomalous data are
present. Returns a pickle-able object storing all this information (with
the ability to write out a PDB file with the sites of interest).
"""
if (out is None) : out = sys.stdout
if (params is None) :
params = master_phil.fetch().extract().find_peaks
if (include_peaks_near_model) :
params.map_next_to_model.min_model_peak_dist = 0
pdb_atoms = pdb_hierarchy.atoms()
unit_cell = fmodel.xray_structure.unit_cell()
from mmtbx import find_peaks
from cctbx import maptbx
f_map = None
if (filter_peaks_by_2fofc is not None) :
f_map_ = fmodel.electron_density_map().fft_map(
resolution_factor=params.resolution_factor,
symmetry_flags=maptbx.use_space_group_symmetry,
map_type="2mFo-DFc",
use_all_data=True)
f_map_.apply_sigma_scaling()
f_map = f_map_.real_map()
make_header("Positive difference map peaks", out=out)
peaks_result = find_peaks.manager(
fmodel=fmodel,
map_type="mFo-DFc",
map_cutoff=map_cutoff,
params=params,
log=out)
peaks_result.peaks_mapped()
peaks_result.show_mapped(pdb_atoms)
peaks = peaks_result.peaks()
if (filter_peaks_by_2fofc is not None) :
n_removed = peaks.filter_by_secondary_map(
map=f_map,
min_value=filter_peaks_by_2fofc)
print >> out, ""
print >> out, "%d peaks remaining after 2mFo-DFc filtering" % \
len(peaks.sites)
# very important - sites are initially fractional coordinates!
peaks.sites = unit_cell.orthogonalize(peaks.sites)
print >> out, ""
out.flush()
make_header("Negative difference map holes", out=out)
holes_result = find_peaks.manager(
fmodel=fmodel,
map_type="mFo-DFc",
map_cutoff=-map_cutoff,
params=params,
log=out)
holes_result.peaks_mapped()
holes_result.show_mapped(pdb_atoms)
holes = holes_result.peaks()
# XXX is this useful?
#if (filter_peaks_by_2fofc is not None) :
# holes.filter_by_secondary_map(
# map=f_map,
# min_value=filter_peaks_by_2fofc)
holes.sites = unit_cell.orthogonalize(holes.sites)
print >> out, ""
out.flush()
anom = None
anom_map_coeffs = None
if (fmodel.f_obs().anomalous_flag()) :
make_header("Anomalous difference map peaks", out=out)
anom_map_type = "anom_residual"
if ((use_phaser_if_available) and (libtbx.env.has_module("phaser")) and
(not fmodel.twin)) :
import mmtbx.map_tools
print >> out, "Will use Phaser LLG map"
anom_map_type = None
anom_map_coeffs = mmtbx.map_tools.get_phaser_sad_llg_map_coefficients(
fmodel=fmodel,
pdb_hierarchy=pdb_hierarchy,
log=out)
anom_result = find_peaks.manager(
fmodel=fmodel,
map_type=anom_map_type,
map_coeffs=anom_map_coeffs,
map_cutoff=anom_map_cutoff,
params=params,
log=out)
anom_result.peaks_mapped()
anom_result.show_mapped(pdb_atoms)
anom = anom_result.peaks()
if (filter_peaks_by_2fofc is not None) :
anom.filter_by_secondary_map(
map=f_map,
min_value=filter_peaks_by_2fofc)
print >> out, ""
print >> out, "%d peaks remaining after 2mFo-DFc filtering" % \
len(anom.sites)
anom.sites = unit_cell.orthogonalize(anom.sites)
print >> out, ""
out.flush()
anom_map = None
cache = pdb_hierarchy.atom_selection_cache()
sites_frac = fmodel.xray_structure.sites_frac()
water_isel = cache.selection(
"resname HOH and not (element H or element D)").iselection()
waters_out = [None, None]
if (len(water_isel) > 0) :
map_types = ["mFo-DFc"]
map_cutoffs = [ map_cutoff ]
if (fmodel.f_obs().anomalous_flag()) :
map_types.append("anomalous")
map_cutoffs.append(anom_map_cutoff)
for k, map_type in enumerate(map_types) :
fft_map = None
# re-use Phaser LLG map if it was previously calculated
if (map_type == "anomalous") and (anom_map_coeffs is not None) :
fft_map = anom_map_coeffs.fft_map(
resolution_factor=params.resolution_factor,
symmetry_flags=maptbx.use_space_group_symmetry)
else :
fft_map = fmodel.electron_density_map().fft_map(
resolution_factor=params.resolution_factor,
symmetry_flags=maptbx.use_space_group_symmetry,
map_type=map_type,
use_all_data=True)
real_map = fft_map.apply_sigma_scaling().real_map_unpadded()
if (map_type == "anomalous") : anom_map = real_map
suspicious_waters = []
for i_seq in water_isel :
atom = pdb_atoms[i_seq]
rho = real_map.tricubic_interpolation(sites_frac[i_seq])
if (rho >= map_cutoffs[k]) :
peak = water_peak(
id_str=atom.id_str(),
xyz=atom.xyz,
peak_height=rho,
map_type=map_type)
suspicious_waters.append(peak)
if (len(suspicious_waters) > 0) :
make_header("Water molecules with %s peaks" % map_type, out=out)
for peak in suspicious_waters :
peak.show(out=out)
print >> out, ""
waters_out[k] = suspicious_waters
non_water_anom_peaks = None
if (fmodel.f_obs().anomalous_flag()) :
non_water_anom_peaks = []
if (anom_map is None) :
fft_map = fmodel.electron_density_map().fft_map(
resolution_factor=params.resolution_factor,
symmetry_flags=maptbx.use_space_group_symmetry,
map_type="anom",
use_all_data=True)
anom_map = fft_map.apply_sigma_scaling().real_map_unpadded()
non_water_non_H_i_sel = cache.selection(
"not (resname HOH or element H or element D)").iselection()
for i_seq in non_water_non_H_i_sel :
rho = anom_map.tricubic_interpolation(sites_frac[i_seq])
if (rho >= anom_map_cutoff) :
atom = pdb_atoms[i_seq]
peak = water_peak(
id_str=atom.id_str(),
xyz=atom.xyz,
peak_height=rho,
map_type="anomalous")
non_water_anom_peaks.append(peak)
all_results = peaks_holes_container(
peaks=peaks,
holes=holes,
anom_peaks=anom,
map_cutoff=map_cutoff,
anom_map_cutoff=anom_map_cutoff,
water_peaks=waters_out[0],
water_anom_peaks=waters_out[1],
non_water_anom_peaks=non_water_anom_peaks)
all_results.show_summary(out=out)
if (return_llg_map) :
return all_results, anom_map_coeffs
return all_results
def run (args, out=None, verbose=True, plots_dir=None) :
t0 = time.time()
if (out is None) : out = sys.stdout
import iotbx.phil
cmdline = iotbx.phil.process_command_line_with_files(
args=args,
master_phil=master_phil,
pdb_file_def="model",
reflection_file_def="map_coeffs",
map_file_def="map_file",
usage_string="""\
phenix.emringer model.pdb map.mrc [cif_file ...] [options]
%s
""" % __doc__)
params = cmdline.work.extract()
validate_params(params)
pdb_in = cmdline.get_file(params.model)
pdb_in.check_file_type("pdb")
hierarchy = pdb_in.file_object.construct_hierarchy()
hierarchy.atoms().reset_i_seq()
map_coeffs = ccp4_map = None
if (params.map_coeffs is not None) :
mtz_in = cmdline.get_file(params.map_coeffs)
mtz_in.check_file_type("hkl")
best_guess = None
best_labels = []
all_labels = []
for array in mtz_in.file_server.miller_arrays :
if (array.info().label_string() == params.map_label) :
map_coeffs = array
break
elif (params.map_label is None) :
if (array.is_complex_array()) :
labels = array.info().label_string()
all_labels.append(labels)
if (labels.startswith("2FOFCWT") or labels.startswith("2mFoDFc") or
labels.startswith("FWT")) :
best_guess = array
best_labels.append(labels)
if (map_coeffs is None) :
if (len(all_labels) == 0) :
raise Sorry("No valid (pre-weighted) map coefficients found in file.")
elif (best_guess is None) :
raise Sorry("Couldn't automatically determine appropriate map labels. "+
"Choices:\n %s" % " \n".join(all_labels))
elif (len(best_labels) > 1) :
raise Sorry("Multiple appropriate map coefficients found in file. "+
"Choices:\n %s" % "\n ".join(best_labels))
map_coeffs = best_guess
print >> out, " Guessing %s for input map coefficients" % best_labels[0]
else :
ccp4_map_in = cmdline.get_file(params.map_file)
ccp4_map_in.check_file_type("ccp4_map")
ccp4_map = ccp4_map_in.file_object
make_header("Iterating over residues", out=out)
t1 = time.time()
from mmtbx.ringer import iterate_over_residues
results = iterate_over_residues(
pdb_hierarchy=hierarchy,
map_coeffs=map_coeffs,
ccp4_map=ccp4_map,
params=params,
log=out).results
t2 = time.time()
if (verbose) :
print >> out, "Time excluding I/O: %8.1fs" % (t2 - t1)
print >> out, "Overall runtime: %8.1fs" % (t2 - t0)
if (params.output_base is None) :
pdb_base = os.path.basename(params.model)
params.output_base = os.path.splitext(pdb_base)[0] + "_emringer"
easy_pickle.dump("%s.pkl" % params.output_base, results)
print >> out, "Wrote %s.pkl" % params.output_base
csv = "\n".join([ r.format_csv() for r in results ])
open("%s.csv" % params.output_base, "w").write(csv)
print >> out, "Wrote %s.csv" % params.output_base
if (plots_dir is None) :
plots_dir = params.output_base + "_plots"
if (not os.path.isdir(plots_dir)) :
os.makedirs(plots_dir)
from mmtbx.ringer import em_rolling
from mmtbx.ringer import em_scoring
import matplotlib
matplotlib.use("Agg")
make_header("Scoring results", out=out)
scoring = em_scoring.main(
file_name=params.output_base,
ringer_result=results,
out_dir=plots_dir,
sampling_angle=params.sampling_angle,
quiet=False,
out=out)
make_header("Inspecting chains", out=out)
rolling_window_threshold = params.rolling_window_threshold
rolling = em_rolling.main(
ringer_results=results,
dir_name=plots_dir,
threshold=rolling_window_threshold, #scoring.optimal_threshold,
graph=False,
save=True,
out=out)
scoring.show_summary(out=out)
print >> out, "\nReferences:"
print >> out, """\
Barad BA, Echols N, Wang RYR, Cheng YC, DiMaio F, Adams PD, Fraser JS. (2015)
Side-chain-directed model and map validation for 3D Electron Cryomicroscopy.
Nature Methods, in press.
Lang PT, Ng HL, Fraser JS, Corn JE, Echols N, Sales M, Holton JM, Alber T.
Automated electron-density sampling reveals widespread conformational
polymorphism in proteins. Protein Sci. 2010 Jul;19(7):1420-31. PubMed PMID:
20499387"""
if (params.show_gui) :
run_app(results)
else :
return (results, scoring, rolling)
def start_coot_and_wait (
pdb_file,
map_file,
ligand_files,
ligand_ccs,
cif_files=(),
work_dir=None,
coot_cmd="coot",
log=None) :
from iotbx import file_reader
from libtbx.str_utils import make_header
from libtbx import easy_run
import cootbx
assert (len(ligand_files) > 0) and (len(ligand_files) == len(ligand_ccs))
if (log is None) : log = sys.stdout
cwd = os.getcwd()
if (work_dir is None) : work_dir = cwd
if (not os.path.isdir(work_dir)) :
os.makedirs(work_dir)
os.chdir(work_dir)
base_script = __file__.replace(".pyc", ".py")
ligand_xyzs = []
for pdb_file in ligand_files :
pdb_file = to_str(pdb_file)
pdb_in = file_reader.any_file(pdb_file, force_type="pdb")
pdb_in.assert_file_type("pdb")
coords = pdb_in.file_object.atoms().extract_xyz()
ligand_xyzs.append(coords.mean())
ligand_info = zip(ligand_files, ligand_ccs, ligand_xyzs)
f = open("edit_in_coot.py", "w")
f.write(open(base_script).read())
f.write("\n")
f.write("import coot\n")
cootbx.write_disable_nomenclature_errors(f)
f.write("read_pdb(\"%s\")\n" % to_str(pdb_file))
f.write("auto_read_make_and_draw_maps(\"%s\")\n" % to_str(map_file))
for cif_file in cif_files :
f.write("read_cif_dictionary(\"%s\")\n" % to_str(cif_file))
f.write("m = manager(%s)\n" % str(ligand_info))
f.close()
make_header("Ligand selection in Coot", log)
rc = easy_run.call("\"%s\" --no-state-script --script edit_in_coot.py &" %
coot_cmd)
if (rc != 0) :
raise RuntimeError("Launching Coot failed with status %d" % rc)
print >> log, " Waiting for user input at %s" % str(time.asctime())
out_file = ".COOT_LIGANDS"
output_files = output_ccs = None
while (True) :
if (os.path.isfile(out_file)) :
print >> log, " Coot editing complete at %s" % str(time.asctime())
ligand_indices = [ int(i) for i in open(out_file).read().split() ]
output_files = []
for i in ligand_indices :
ligand_file = os.path.join(work_dir, "coot_ligand_out_%d.pdb" % (i+1))
output_files.append(ligand_file)
output_ccs = [ ligand_ccs[i] for i in ligand_indices ]
break
else :
time.sleep(t_wait / 1000.)
assert (output_files is not None)
os.chdir(cwd)
return output_files, output_ccs
def build_cycle (pdb_hierarchy,
fmodel,
geometry_restraints_manager,
params,
selection=None,
cif_objects=(),
nproc=Auto,
out=sys.stdout,
verbose=False,
debug=None,
i_cycle=0) :
from mmtbx import restraints
from scitbx.array_family import flex
t_start = time.time()
hd_sel = fmodel.xray_structure.hd_selection()
n_hydrogen = hd_sel.count(True)
if (n_hydrogen > 0) and (True) : #params.building.delete_hydrogens) :
print >> out, "WARNING: %d hydrogen atoms will be removed!" % n_hydrogen
non_hd_sel = ~hd_sel
# XXX it's better to do this in-place for the hierarchy, because calling
# pdb_hierarchy.select(non_hd_sel) will not remove parent-child
# relationships involving hydrogens, which causes problems when running
# the MolProbity validation.
pdb_hierarchy.remove_hd(reset_i_seq=True)
xray_structure = fmodel.xray_structure.select(non_hd_sel)
assert (pdb_hierarchy.atoms_size() == xray_structure.scatterers().size())
fmodel.update_xray_structure(xray_structure)
geometry_restraints_manager = geometry_restraints_manager.select(non_hd_sel)
pdb_atoms = pdb_hierarchy.atoms()
segids = pdb_atoms.extract_segid().strip()
if (not segids.all_eq("")) :
print >> out, "WARNING: resetting segids to blank"
for i_seq, atom in enumerate(pdb_atoms) :
atom.segid = ""
sc = fmodel.xray_structure.scatterers()[i_seq]
sc.label = atom.id_str()
if isinstance(selection, str) :
sele_cache = pdb_hierarchy.atom_selection_cache()
selection = sele_cache.selection(selection)
make_header("Build cycle %d" % (i_cycle+1), out=out)
fmodel.info().show_rfactors_targets_scales_overall(out=out)
if (debug > 0) :
from mmtbx.maps.utils import get_maps_from_fmodel
from iotbx.map_tools import write_map_coeffs
two_fofc, fofc = get_maps_from_fmodel(fmodel,
exclude_free_r_reflections=True)
write_map_coeffs(
fwt_coeffs=two_fofc,
delfwt_coeffs=fofc,
file_name="cycle_%d_start.mtz" % (i_cycle+1))
candidate_residues = alt_confs.filter_before_build(
pdb_hierarchy=pdb_hierarchy,
fmodel=fmodel,
geometry_restraints_manager=geometry_restraints_manager,
selection=selection,
params=params.prefilter,
verbose=verbose,
log=out)
t1 = time.time()
print >> out, "filtering: %.3fs" % (t1-t_start)
restraints_manager = restraints.manager(
geometry=geometry_restraints_manager,
normalization=True)
make_sub_header("Finding alternate conformations", out=out)
building_trials = find_all_alternates(
residues=candidate_residues,
pdb_hierarchy=pdb_hierarchy,
restraints_manager=restraints_manager,
fmodel=fmodel,
params=params.residue_fitting,
nproc=params.nproc,
verbose=verbose,
debug=debug,
log=out).results
t2 = time.time()
print >> out, " building: %.3fs" % (t2-t1)
make_sub_header("Scoring and assembling alternates", out=out)
n_alternates = process_results(
pdb_hierarchy=pdb_hierarchy,
fmodel=fmodel,
residues_in=candidate_residues,
building_trials=building_trials,
params=params.residue_fitting,
verbose=verbose,
log=out)
if (n_alternates > 0) :
print >> out, ""
print >> out, " %d disordered residues built" % n_alternates
n_split = alt_confs.spread_alternates(pdb_hierarchy,
new_occupancy=params.residue_fitting.expected_occupancy,
split_all_adjacent=True,
log=out)
assert (n_split > 0)
print >> out, " %d adjacent residues split" % n_split
else :
print >> out, "No alternates built this round."
t3 = time.time()
print >> out, " assembly: %.3fs" % (t3-t2)
if (not params.cleanup.rsr_after_build) :
if (n_alternates > 0) :
print >> out, "Skipping final RSR step (rsr_after_build=False)."
else :
print >> out, "No refinement needs to be performed."
else :
make_sub_header("Real-space refinement", out=out)
print >> out, ""
pdb_hierarchy = real_space_refine(
pdb_hierarchy=pdb_hierarchy,
fmodel=fmodel,
cif_objects=cif_objects,
params=params,
nproc=params.nproc,
remediate=True,
out=out)
t4 = time.time()
print >> out, ""
print >> out, "RSR: %.3fs" % (t4-t3)
fmodel.info().show_targets(out=out, text="Rebuilt model")
t_end = time.time()
alt_confs.finalize_model(
pdb_hierarchy=pdb_hierarchy,
xray_structure=pdb_hierarchy.extract_xray_structure(
crystal_symmetry=fmodel.xray_structure),
set_b_iso=params.cleanup.set_b_iso,
convert_to_isotropic=params.cleanup.convert_to_isotropic,
selection="altloc A or altloc B")
t_end = time.time()
print >> out, "Total runtime for cycle: %.3fs" % (t_end-t_start)
return pdb_hierarchy, n_alternates
def show(self,
out=sys.stdout,
outliers_only=True,
suppress_summary=False,
show_percentiles=False):
"""
Comprehensive output with individual outlier lists, plus summary.
"""
if (self.xtriage is not None):
self.xtriage.summarize_issues().show(out=out)
if (self.data_stats is not None):
make_header("Experimental data", out=out)
self.data_stats.show(out=out, prefix=" ")
if (self.real_space is not None):
make_sub_header("Residues with poor real-space CC", out=out)
self.real_space.show(out=out, prefix=" ")
if (self.waters is not None):
make_sub_header("Suspicious water molecules", out=out)
self.waters.show(out=out, prefix=" ")
if (self.model_stats is not None):
make_header("Model properties", out=out)
self.model_stats.show(prefix=" ", out=out)
if (self.restraints is not None):
make_header("Geometry restraints", out=out)
self.restraints.show(out=out, prefix=" ")
make_header("Molprobity validation", out=out)
self.model_statistics_geometry.show(log=out,
prefix=" ",
lowercase=True)
if (self.nqh_flips is not None):
make_sub_header("Asn/Gln/His flips", out=out)
self.nqh_flips.show(out=out, prefix=" ")
if (self.rna is not None):
make_header("RNA validation", out=out)
self.rna.show(out=out, prefix=" ", outliers_only=outliers_only)
if (not suppress_summary):
make_header("Summary", out=out)
self.show_summary(out=out,
prefix=" ",
show_percentiles=show_percentiles)
return self
def start_coot_and_wait(pdb_file,
map_file,
ligand_files,
ligand_ccs,
cif_files=(),
work_dir=None,
coot_cmd="coot",
log=None):
from iotbx import file_reader
from libtbx.str_utils import make_header
from libtbx import easy_run
import cootbx
assert (len(ligand_files) > 0) and (len(ligand_files) == len(ligand_ccs))
if (log is None): log = sys.stdout
cwd = os.getcwd()
if (work_dir is None): work_dir = cwd
if (not os.path.isdir(work_dir)):
os.makedirs(work_dir)
os.chdir(work_dir)
base_script = __file__.replace(".pyc", ".py")
ligand_xyzs = []
for pdb_file in ligand_files:
pdb_file = to_str(pdb_file)
pdb_in = file_reader.any_file(pdb_file, force_type="pdb")
pdb_in.assert_file_type("pdb")
coords = pdb_in.file_object.atoms().extract_xyz()
ligand_xyzs.append(coords.mean())
ligand_info = zip(ligand_files, ligand_ccs, ligand_xyzs)
f = open("edit_in_coot.py", "w")
f.write(open(base_script).read())
f.write("\n")
f.write("import coot\n")
cootbx.write_disable_nomenclature_errors(f)
f.write("read_pdb(\"%s\")\n" % to_str(pdb_file))
f.write("auto_read_make_and_draw_maps(\"%s\")\n" % to_str(map_file))
for cif_file in cif_files:
f.write("read_cif_dictionary(\"%s\")\n" % to_str(cif_file))
f.write("m = manager(%s)\n" % str(ligand_info))
f.close()
make_header("Ligand selection in Coot", log)
rc = easy_run.call("\"%s\" --no-state-script --script edit_in_coot.py &" %
coot_cmd)
if (rc != 0):
raise RuntimeError("Launching Coot failed with status %d" % rc)
print >> log, " Waiting for user input at %s" % str(time.asctime())
out_file = ".COOT_LIGANDS"
output_files = output_ccs = None
while (True):
if (os.path.isfile(out_file)):
print >> log, " Coot editing complete at %s" % str(time.asctime())
ligand_indices = [int(i) for i in open(out_file).read().split()]
output_files = []
for i in ligand_indices:
ligand_file = os.path.join(work_dir,
"coot_ligand_out_%d.pdb" % (i + 1))
output_files.append(ligand_file)
output_ccs = [ligand_ccs[i] for i in ligand_indices]
break
else:
time.sleep(t_wait / 1000.)
assert (output_files is not None)
os.chdir(cwd)
return output_files, output_ccs
def show_header (self, text) : make_header(text, out=self.out)
def run(args, out=sys.stdout):
from mmtbx.building import alternate_conformations
import mmtbx.command_line
import mmtbx.building
import iotbx.pdb.hierarchy
cmdline = mmtbx.command_line.load_model_and_data(
args=args,
master_phil=get_master_phil(),
process_pdb_file=True,
create_fmodel=True,
out=out,
usage_string="""\
mmtbx.generate_disorder model.pdb data.mtz selection="resname ATP" [occ=0.6]
Perform simulatead annealing against an mFo-DFc map to generate possible
alternate conformations for a selection of atoms. For development purposes
and experimentation only.
""")
params = cmdline.params
fmodel = cmdline.fmodel
validate_params(params)
pdb_hierarchy = cmdline.pdb_hierarchy
make_header("Generating disorder", out=out)
a_c_p = cmdline.processed_pdb_file.all_chain_proxies
selection = a_c_p.selection(params.selection)
if (params.whole_residues):
selection = iotbx.pdb.atom_selection.expand_selection_to_entire_atom_groups(
selection=selection, pdb_atoms=pdb_hierarchy.atoms())
n_sel = selection.count(True)
assert (n_sel > 0)
print >> out, "%d atoms selected" % n_sel
selection_delete = None
if (params.selection_delete is not None):
selection_delete = a_c_p.selection(params.selection_delete)
two_fofc_map, fofc_map = alternate_conformations.get_partial_omit_map(
fmodel=fmodel.deep_copy(),
selection=selection,
selection_delete=selection_delete,
negate_surrounding=params.negate_surrounding_sites,
map_file_name=params.output.map_file_name,
partial_occupancy=params.occ,
resolution_factor=params.resolution_factor)
target_map = fofc_map
if (params.target_map == "2mFo-DFc"):
target_map = two_fofc_map
annealer = annealing_manager(xray_structure=fmodel.xray_structure,
pdb_hierarchy=pdb_hierarchy,
processed_pdb_file=cmdline.processed_pdb_file,
target_map=target_map,
two_fofc_map=two_fofc_map,
d_min=fmodel.f_obs().d_min(),
params=params,
selection=selection,
resolution_factor=params.resolution_factor,
out=out,
debug=params.output.debug)
sites_ref = pdb_hierarchy.atoms().extract_xyz().deep_copy()
sites_all = easy_mp.pool_map(fixed_func=annealer,
iterable=range(params.n_confs),
processes=params.nproc)
ensemble = iotbx.pdb.hierarchy.root()
if (params.output.include_starting_model):
sites_all.insert(0, sites_ref)
rmsds = []
for i_conf, sites_new in enumerate(sites_all):
assert (sites_new is not None)
model = pdb_hierarchy.only_model().detached_copy()
model.atoms().set_xyz(sites_new)
model.id = str(i_conf + 1)
rmsd = sites_new.select(selection).rms_difference(
sites_ref.select(selection))
print >> out, "Model %d: rmsd=%.3f" % (i_conf + 1, rmsd)
rmsds.append(rmsd)
ensemble.append_model(model)
f = open(params.output.file_name, "w")
f.write(ensemble.as_pdb_string(crystal_symmetry=fmodel.xray_structure))
f.close()
print >> out, "Wrote ensemble model to %s" % params.output.file_name
return rmsds
def find_peaks_holes(fmodel,
pdb_hierarchy,
params=None,
map_cutoff=3.0,
anom_map_cutoff=3.0,
filter_peaks_by_2fofc=None,
use_phaser_if_available=True,
return_llg_map=False,
include_peaks_near_model=False,
out=None):
"""
Find peaks and holes in mFo-DFc map, plus flag solvent atoms with
suspiciously high mFo-DFc values, plus anomalous peaks if anomalous data are
present. Returns a pickle-able object storing all this information (with
the ability to write out a PDB file with the sites of interest).
"""
if (out is None): out = sys.stdout
if (params is None):
params = master_phil.fetch().extract().find_peaks
if (include_peaks_near_model):
params.map_next_to_model.min_model_peak_dist = 0
pdb_atoms = pdb_hierarchy.atoms()
unit_cell = fmodel.xray_structure.unit_cell()
from mmtbx import find_peaks
from cctbx import maptbx
f_map = None
if (filter_peaks_by_2fofc is not None):
f_map_ = fmodel.electron_density_map().fft_map(
resolution_factor=params.resolution_factor,
symmetry_flags=maptbx.use_space_group_symmetry,
map_type="2mFo-DFc",
use_all_data=True)
f_map_.apply_sigma_scaling()
f_map = f_map_.real_map()
make_header("Positive difference map peaks", out=out)
peaks_result = find_peaks.manager(fmodel=fmodel,
map_type="mFo-DFc",
map_cutoff=map_cutoff,
params=params,
log=out)
peaks_result.peaks_mapped()
peaks_result.show_mapped(pdb_atoms)
peaks = peaks_result.peaks()
if (filter_peaks_by_2fofc is not None):
n_removed = peaks.filter_by_secondary_map(
map=f_map, min_value=filter_peaks_by_2fofc)
print >> out, ""
print >> out, "%d peaks remaining after 2mFo-DFc filtering" % \
len(peaks.sites)
# very important - sites are initially fractional coordinates!
peaks.sites = unit_cell.orthogonalize(peaks.sites)
print >> out, ""
out.flush()
make_header("Negative difference map holes", out=out)
holes_result = find_peaks.manager(fmodel=fmodel,
map_type="mFo-DFc",
map_cutoff=-map_cutoff,
params=params,
log=out)
holes_result.peaks_mapped()
holes_result.show_mapped(pdb_atoms)
holes = holes_result.peaks()
# XXX is this useful?
#if (filter_peaks_by_2fofc is not None) :
# holes.filter_by_secondary_map(
# map=f_map,
# min_value=filter_peaks_by_2fofc)
holes.sites = unit_cell.orthogonalize(holes.sites)
print >> out, ""
out.flush()
anom = None
anom_map_coeffs = None
if (fmodel.f_obs().anomalous_flag()):
make_header("Anomalous difference map peaks", out=out)
anom_map_type = "anom_residual"
if ((use_phaser_if_available) and (libtbx.env.has_module("phaser"))
and (not fmodel.twin)):
import mmtbx.map_tools
print >> out, "Will use Phaser LLG map"
anom_map_type = None
anom_map_coeffs = mmtbx.map_tools.get_phaser_sad_llg_map_coefficients(
fmodel=fmodel, pdb_hierarchy=pdb_hierarchy, log=out)
anom_result = find_peaks.manager(fmodel=fmodel,
map_type=anom_map_type,
map_coeffs=anom_map_coeffs,
map_cutoff=anom_map_cutoff,
params=params,
log=out)
anom_result.peaks_mapped()
anom_result.show_mapped(pdb_atoms)
anom = anom_result.peaks()
if (filter_peaks_by_2fofc is not None):
anom.filter_by_secondary_map(map=f_map,
min_value=filter_peaks_by_2fofc)
print >> out, ""
print >> out, "%d peaks remaining after 2mFo-DFc filtering" % \
len(anom.sites)
anom.sites = unit_cell.orthogonalize(anom.sites)
print >> out, ""
out.flush()
anom_map = None
cache = pdb_hierarchy.atom_selection_cache()
sites_frac = fmodel.xray_structure.sites_frac()
water_isel = cache.selection(
"resname HOH and not (element H or element D)").iselection()
waters_out = [None, None]
if (len(water_isel) > 0):
map_types = ["mFo-DFc"]
map_cutoffs = [map_cutoff]
if (fmodel.f_obs().anomalous_flag()):
map_types.append("anomalous")
map_cutoffs.append(anom_map_cutoff)
for k, map_type in enumerate(map_types):
fft_map = None
# re-use Phaser LLG map if it was previously calculated
if (map_type == "anomalous") and (anom_map_coeffs is not None):
fft_map = anom_map_coeffs.fft_map(
resolution_factor=params.resolution_factor,
symmetry_flags=maptbx.use_space_group_symmetry)
else:
fft_map = fmodel.electron_density_map().fft_map(
resolution_factor=params.resolution_factor,
symmetry_flags=maptbx.use_space_group_symmetry,
map_type=map_type,
use_all_data=True)
real_map = fft_map.apply_sigma_scaling().real_map_unpadded()
if (map_type == "anomalous"): anom_map = real_map
suspicious_waters = []
for i_seq in water_isel:
atom = pdb_atoms[i_seq]
rho = real_map.tricubic_interpolation(sites_frac[i_seq])
if (rho >= map_cutoffs[k]):
peak = water_peak(id_str=atom.id_str(),
xyz=atom.xyz,
peak_height=rho,
map_type=map_type)
suspicious_waters.append(peak)
if (len(suspicious_waters) > 0):
make_header("Water molecules with %s peaks" % map_type,
out=out)
for peak in suspicious_waters:
peak.show(out=out)
print >> out, ""
waters_out[k] = suspicious_waters
non_water_anom_peaks = None
if (fmodel.f_obs().anomalous_flag()):
non_water_anom_peaks = []
if (anom_map is None):
fft_map = fmodel.electron_density_map().fft_map(
resolution_factor=params.resolution_factor,
symmetry_flags=maptbx.use_space_group_symmetry,
map_type="anom",
use_all_data=True)
anom_map = fft_map.apply_sigma_scaling().real_map_unpadded()
non_water_non_H_i_sel = cache.selection(
"not (resname HOH or element H or element D)").iselection()
for i_seq in non_water_non_H_i_sel:
rho = anom_map.tricubic_interpolation(sites_frac[i_seq])
if (rho >= anom_map_cutoff):
atom = pdb_atoms[i_seq]
peak = water_peak(id_str=atom.id_str(),
xyz=atom.xyz,
peak_height=rho,
map_type="anomalous")
non_water_anom_peaks.append(peak)
all_results = peaks_holes_container(
peaks=peaks,
holes=holes,
anom_peaks=anom,
map_cutoff=map_cutoff,
anom_map_cutoff=anom_map_cutoff,
water_peaks=waters_out[0],
water_anom_peaks=waters_out[1],
non_water_anom_peaks=non_water_anom_peaks)
all_results.show_summary(out=out)
if (return_llg_map):
return all_results, anom_map_coeffs
return all_results
def __init__ (self, params, hkl_in=None, pdb_in=None, out=sys.stdout) :
adopt_init_args(self, locals())
self.params = params
self.out = out
self.pdb_hierarchy = None
if (params.pdb_file is None) and (params.hkl_file is None) :
raise Sorry("No PDB file specified.")
if (params.generate_noise.add_noise) and (params.hkl_file is None) :
if (params.generate_noise.noise_profile_file is None) :
raise Sorry("noise_profile_file required when add_noise=True and "
"hkl_file is undefined.")
if (pdb_in is None) and (params.pdb_file is not None) :
f = file_reader.any_file(params.pdb_file, force_type="pdb")
f.assert_file_type("pdb")
self.pdb_in = f.file_object
if (self.hkl_in is None) and (params.hkl_file is not None) :
f = file_reader.any_file(params.hkl_File, force_type="hkl")
f.assert_file_type("hkl")
self.hkl_in = f.file_object
if (self.pdb_in is not None) :
self.pdb_hierarchy = self.pdb_in.hierarchy
if (self.hkl_in is not None) :
make_header("Extracting experimental data", out=sys.stdout)
f_raw, r_free = self.from_hkl()
elif (self.pdb_in is not None) :
make_header("Generating fake data with phenix.fmodel", out=sys.stdout)
f_raw, r_free = self.from_pdb()
if (params.r_free_flags.file_name is not None) :
f_raw, r_free = self.import_r_free_flags(f_raw)
self.r_free = r_free
make_header("Applying low-resolution filtering", out=sys.stdout)
print >> out, " Target resolution: %.2f A" % params.d_min
self.n_residues, self.n_bases = None, None
if (self.pdb_in is not None) :
self.n_residues, self.n_bases = get_counts(self.pdb_hierarchy)
#if (params.auto_adjust) :
# if (pdb_in is None) :
# raise Sorry("You must supply a PDB file when auto_adjust=True.")
self.f_out = self.truncate_data(f_raw)
if (params.generate_noise.add_noise) :
make_header("Adding noise using sigma profile", out=sys.stdout)
if (self.f_out.sigmas() is None) :
if (self.pdb_in is not None) :
iso_scale, aniso_scale = wilson_scaling(self.f_out, self.n_residues,
self.n_bases)
i_obs = create_sigmas(
f_obs=self.f_out,
params=params.generate_noise,
wilson_b=iso_scale.b_wilson,
return_as_amplitudes=False)
apply_sigma_noise(i_obs)
self.f_out = i_obs.f_sq_as_f()
make_header("Done processing", out=sys.stdout)
print >> out, " Completeness after processing: %.2f%%" % (
self.f_out.completeness() * 100.)
print >> out, " Final resolution: %.2f A" % self.f_out.d_min()
if (self.pdb_in is not None) :
iso_scale, aniso_scale = wilson_scaling(self.f_out, self.n_residues,
self.n_bases)
print >> out, ""
print >> out, " Scaling statistics for output data:"
show_b_factor_info(iso_scale, aniso_scale, out=out)
print >> out, ""
self.write_output()
def exercise():
from libtbx.test_utils import show_diff, Exception_expected
from six.moves import cPickle as pickle
#
from libtbx.str_utils import split_keeping_spaces
assert split_keeping_spaces(s="") == []
assert split_keeping_spaces(s=" ") == [" "]
assert split_keeping_spaces(s="a") == ["a"]
assert split_keeping_spaces(s="abc") == ["abc"]
assert split_keeping_spaces(s=" a") == [" ", "a"]
assert split_keeping_spaces(s=" a") == [" ", "a"]
assert split_keeping_spaces(s=" abc") == [" ", "abc"]
assert split_keeping_spaces(s=" abc ") == [" ", "abc", " "]
assert split_keeping_spaces(s=" abc ") == [" ", "abc", " "]
assert split_keeping_spaces(s="a ") == ["a", " "]
assert split_keeping_spaces(s="a ") == ["a", " "]
assert split_keeping_spaces(s="abc ") == ["abc", " "]
assert split_keeping_spaces(s="a b") == ["a", " ", "b"]
assert split_keeping_spaces(s="a b") == ["a", " ", "b"]
assert split_keeping_spaces(s=" a b c d ") == [
" ", "a", " ", "b", " ", "c", " ", "d", " "
]
#
from libtbx.str_utils import size_as_string_with_commas
assert size_as_string_with_commas(0) == "0"
assert size_as_string_with_commas(1) == "1"
assert size_as_string_with_commas(-1) == "-1"
assert size_as_string_with_commas(10) == "10"
assert size_as_string_with_commas(100) == "100"
assert size_as_string_with_commas(1000) == "1,000"
assert size_as_string_with_commas(12345) == "12,345"
assert size_as_string_with_commas(12345678) == "12,345,678"
assert size_as_string_with_commas(-12345678) == "-12,345,678"
#
from libtbx.str_utils import show_string
assert show_string("abc") == '"abc"'
assert show_string("a'c") == '"a\'c"'
assert show_string('a"c') == "'a\"c'"
assert show_string('\'"c') == '"\'\\"c"'
#
from libtbx.str_utils import prefix_each_line
assert prefix_each_line(prefix="^",
lines_as_one_string="""\
hello
world""") == """\
^hello
^world"""
#
from libtbx.str_utils import prefix_each_line_suffix
assert prefix_each_line_suffix(prefix="^",
lines_as_one_string="""\
hello
world""",
suffix=" ") == """\
^hello
^world"""
assert prefix_each_line_suffix(prefix="^",
lines_as_one_string="""\
hello
world""",
suffix=" ",
rstrip=False) == """\
^hello%s
^world """ % " "
#
from libtbx.str_utils import show_sorted_by_counts
from six.moves import cStringIO
out = cStringIO()
assert show_sorted_by_counts(label_count_pairs=[("b", 3), ("a", 3),
("c", -2)],
out=out,
prefix="%")
assert not show_diff(out.getvalue(), """\
%"a" 3
%"b" 3
%"c" -2
""")
out = cStringIO()
assert show_sorted_by_counts(label_count_pairs=[("b", -3), ("a", -3),
("c", 2)],
reverse=False,
out=out,
prefix="%",
annotations=[None, "", "x"])
assert not show_diff(out.getvalue(), """\
%"a" -3
%"b" -3
%"c" 2 x
""")
#
from libtbx.str_utils import line_breaker
for string, expected_result in [
("", [""]), ("this is", ["this is"]), ("this is a", ["this is", "a"]),
("this is a sentence", ["this is", "a", "sentence"]),
("this is a longer sentence", ["this is", "a", "longer", "sentence"]),
("this is a very long sentence indeed",
["this is", "a very", "long", "sentence", "indeed"])
]:
assert [block
for block in line_breaker(string, width=7)] == expected_result
#
from libtbx.str_utils import StringIO
out1 = cStringIO()
out2 = StringIO()
out3 = StringIO("Hello world!\n")
print("Hello world!", file=out1)
print("Hello world!", file=out2)
try:
print("Hello world!", file=out3)
except AttributeError:
pass
else:
raise Exception_expected
out4 = pickle.loads(pickle.dumps(out2))
out5 = pickle.loads(pickle.dumps(out3))
assert out4.getvalue() == out1.getvalue() == out2.getvalue(
) == out5.getvalue()
#
from libtbx.str_utils import reformat_terminal_text
txt1 = """
This is some
terminal-formatted
text which needs
to be reset.
"""
assert (reformat_terminal_text(txt1) ==
"This is some terminal-formatted text which needs to be reset.")
txt2 = """
This is more
terminal-formatted
text which needs
to be reset.
"""
#
from libtbx.str_utils import strip_lines, rstrip_lines
lines = [" This is more ", " terminal-formatted ", " text "]
assert (
strip_lines(txt2) ==
"\nThis is more\nterminal-formatted\ntext which needs\nto be reset.")
assert (
rstrip_lines(txt2) ==
"\n This is more\n terminal-formatted\n text which needs\n to be reset."
)
#
from libtbx.str_utils import expandtabs_track_columns
def check(s):
es, js = expandtabs_track_columns(s=s)
assert len(js) == len(s)
assert es == s.expandtabs()
sr = "".join([es[j] for j in js])
assert sr == s.replace("\t", " ")
check("")
check("\t")
check("\t\t")
check("\ty")
check("x\ty")
check("x\ty\tz")
check("\txy\t\tz")
check("abcdefg\txy\t\tz")
check("ab defgh\txyz\t\tu")
#
from libtbx.str_utils import format_value
assert format_value("%.4f", 1.2345678) == "1.2346"
assert format_value("%.4f", None) == " None"
assert format_value("%.4f", None, replace_none_with="---") == " ---"
#
from libtbx.str_utils import make_header
out = StringIO()
make_header("Header 1", out=out)
assert (out.getvalue() == """
=================================== Header 1 ==================================
""")
out = StringIO()
make_header("Header 2", out=out)
assert (out.getvalue() == """
=================================== Header 2 ==================================
""")
#
import sys
from libtbx.str_utils import string_representation
iset = list(range(130)) + list(range(250, 256))
for i in iset:
s = chr(i)
for j in iset:
ss = s + chr(j)
sr = string_representation(string=ss,
preferred_quote="'",
alternative_quote='"')
if sys.hexversion < 0x03000000:
assert sr == repr(ss)
else:
assert eval(sr) == ss
from libtbx.str_utils import framed_output
out = StringIO()
box = framed_output(out, frame='#')
print("Hello, world!", file=box)
box.close()
assert (out.getvalue() == """
#################
# Hello, world! #
#################
""")
out = StringIO()
box = framed_output(out,
frame='-',
width=80,
center=True,
title="Refinement stats")
box.write("r_free = 0.1234")
box.write(" ")
box.write("r_work = 0.1567")
box.close()
assert (out.getvalue() == """
|--------------------------------Refinement stats------------------------------|
| r_free = 0.1234 r_work = 0.1567 |
|------------------------------------------------------------------------------|
""")
out = StringIO()
box = framed_output(out,
frame='-',
width=72,
prefix=" ",
title="Validation summary")
print("Overall MolProbity score: 2.56", file=box)
box.add_separator()
print("""\
Ramachandran favored: 97.5 %
outliers: 2.5 %
Rotamer outliers: 5.9 %
Clashscore: 10.9""",
file=box)
assert (out.getvalue() == "")
del box
assert (out.getvalue() == """
|-Validation summary---------------------------------------------------|
| Overall MolProbity score: 2.56 |
|----------------------------------------------------------------------|
| Ramachandran favored: 97.5 % |
| outliers: 2.5 % |
| Rotamer outliers: 5.9 % |
| Clashscore: 10.9 |
|----------------------------------------------------------------------|
""")
from libtbx.str_utils import print_message_in_box
out = StringIO()
print_message_in_box(
message="This is some terminal-formatted text which needs to be reset.",
out=out,
width=32,
center=True,
prefix=" ",
frame='*')
assert (out.getvalue() == """
********************************
* This is some *
* terminal-formatted text *
* which needs to be reset. *
********************************
""")
from libtbx.str_utils import make_big_header
out = StringIO()
make_big_header("Section title", out=out)
assert (out.getvalue() == """
################################################################################
# Section title #
################################################################################
""")
def run (args, out=None, verbose=True) :
t0 = time.time()
if (out is None) : out = sys.stdout
if (len(args) == 0) :
phil_out = StringIO()
master_phil.show(out=phil_out, prefix=" ")
raise Usage("ringer.py [model.pdb] [map.mtz] [cif_file ...] [options]\n"+
" Full parameters:\n%s" % phil_out.getvalue())
from iotbx import file_reader
import iotbx.phil
cmdline = iotbx.phil.process_command_line_with_files(
args=args,
master_phil=master_phil,
pdb_file_def="pdb_file",
reflection_file_def="map_coeffs",
cif_file_def="cif_file")
params = cmdline.work.extract()
validate_params(params)
pdb_in = file_reader.any_file(params.pdb_file, force_type="pdb")
pdb_in.check_file_type("pdb")
hierarchy = pdb_in.file_object.construct_hierarchy()
hierarchy.atoms().reset_i_seq()
mtz_in = file_reader.any_file(params.map_coeffs, force_type="hkl")
mtz_in.check_file_type("hkl")
map_coeffs = None
best_guess = None
best_labels = []
all_labels = []
for array in mtz_in.file_server.miller_arrays :
if (array.info().label_string() == params.map_label) :
map_coeffs = array
break
elif (params.map_label is None) :
if (array.is_complex_array()) :
labels = array.info().label_string()
all_labels.append(labels)
if (labels.startswith("2FOFCWT") or labels.startswith("2mFoDFc") or
labels.startswith("FWT")) :
best_guess = array
best_labels.append(labels)
if (map_coeffs is None) :
if (len(all_labels) == 0) :
raise Sorry("No valid (pre-weighted) map coefficients found in file.")
elif (best_guess is None) :
raise Sorry("Couldn't automatically determine appropriate map labels. "+
"Choices:\n %s" % " \n".join(all_labels))
elif (len(best_labels) > 1) :
raise Sorry("Multiple appropriate map coefficients found in file. "+
"Choices:\n %s" % "\n ".join(best_labels))
map_coeffs = best_guess
print >> out, " Guessing %s for input map coefficients" % best_labels[0]
make_header("Iterating over residues", out=out)
t1 = time.time()
results = iterate_over_residues(
pdb_hierarchy=hierarchy,
map_coeffs=map_coeffs,
params=params,
log=out).results
t2 = time.time()
if (verbose) :
print >> out, "Time excluding I/O: %8.1fs" % (t2 - t1)
print >> out, "Overall runtime: %8.1fs" % (t2 - t0)
if (params.output_base is None) :
pdb_base = os.path.basename(params.pdb_file)
params.output_base = os.path.splitext(pdb_base)[0] + "_ringer"
easy_pickle.dump("%s.pkl" % params.output_base, results)
print >> out, "Wrote %s.pkl" % params.output_base
csv = "\n".join([ r.format_csv() for r in results ])
open("%s.csv" % params.output_base, "w").write(csv)
print >> out, "Wrote %s.csv" % params.output_base
if (params.show_gui) :
run_app(results)
else :
return results