def RecombineIndependentTLSSegments(analysis):
console.endln()
console.debug_stdoutln(">tlsmd_analysis->RecombineIndependentTLSSegments()")
console.stdoutln("TLS SEGMENT RECOMBINATION")
for chain in analysis.chains:
## E.g., chain="Segment(1:A, Res(ILE,16,A)...Res(SER,116,A))"
cpartition_recombination.ChainPartitionRecombinationOptimization(chain)
def LoadStructure(struct_source):
"""Loads Structure, chooses a unique struct_id string.
Also, search the REMARK records for TLS group records. If they
are found, then add the TLS group ADP magnitude to the B facors of
the ATOM records.
"""
## determine the argument type
if isinstance(struct_source, str):
file_path = struct_source
console.kvformat("LOADING STRUCTURE", file_path)
fobj = open(file_path, "r")
elif hasattr(struct_source, "__iter__") and hasattr(struct_source, "seek"):
console.kvformat("LOADING STRUCTURE", str(struct_source))
fobj = struct_source
else:
raise ValueError
## load struct
struct = FileIO.LoadStructure(file = fobj, distance_bonds = True)
console.kvformat("HEADER", struct.header)
console.kvformat("TITLE", struct.title)
console.kvformat("EXPERIMENTAL METHOD", struct.experimental_method)
## set the structure ID
if conf.globalconf.struct_id is not None:
struct_id = conf.globalconf.struct_id
else:
struct_id = struct.structure_id
conf.globalconf.struct_id = struct_id
struct.structure_id = struct_id
console.endln()
## if there are REFMAC5 TLS groups in the REMARK records of
## the PDB file, then add those in
tls_file = TLS.TLSFile()
tls_file.set_file_format(TLS.TLSFileFormatPDB())
## return to the beginning of the file and read the REMARK/TLS records
fobj.seek(0)
tls_file.load(fobj)
if len(tls_file.tls_desc_list) > 0:
console.stdoutln("ADDING TLS GROUP Bequiv TO ATOM TEMPERATURE FACTORS")
console.stdoutln(" NUM TLS GROUPS: %d" % (len(tls_file.tls_desc_list)))
## assume REFMAC5 groups where Utotal = Utls + Biso(temp_factor)
for tls_desc in tls_file.tls_desc_list:
tls_group = tls_desc.construct_tls_group_with_atoms(struct)
console.stdoutln(" TLS GROUP: %s" % (tls_group.name))
for atm, Utls in tls_group.iter_atm_Utls():
bresi = atm.temp_factor
atm.temp_factor = bresi + (Constants.U2B * numpy.trace(Utls) / 3.0)
atm.U = (Constants.B2U * bresi * numpy.identity(3, float)) + Utls
console.endln()
return struct
def prnt(self):
console.stdoutln("TLS Motion Determination (TLSMD) Version %s" % (const.VERSION))
console.endln()
console.kvformat("TLS PARAMETER FIT ENGINE", self.tls_model)
console.kvformat("MIN_SUBSEGMENT_SIZE", self.min_subsegment_size)
console.kvformat("ATOM B-FACTOR WEIGHT_MODEL", self.weight_model)
console.kvformat("PROTEIN ATOMS CONSIDERED", self.include_atoms)
console.endln()
def prnt_settings(self):
chain_ids = []
for chain in self.chains:
chain_ids.append(chain.chain_id)
cids = ",".join(chain_ids)
console.kvformat("STRUCTURE ID", self.struct_id)
console.kvformat("CHAIN IDs SELECTED FOR ANALYSIS", cids)
console.endln()
def prnt_settings(self):
chain_ids = []
for chain in self.chains:
chain_ids.append(chain.chain_id)
cids = ",".join(chain_ids)
console.debug_stdoutln(">tlsmd_analysis->TLSMDAnalysis()")
console.kvformat("STRUCTURE ID", self.struct_id)
console.kvformat("CHAIN IDs SELECTED FOR ANALYSIS", cids)
console.endln()
def FitConstrainedTLSModel(analysis):
"""
"""
console.endln()
console.stdoutln("CALCULATING CONSTRAINED TLS MODEL FOR VISUALIZATION")
for chain in analysis.iter_chains():
console.stdoutln("CHAIN %s" % (chain.chain_id))
for cpartition in chain.partition_collection.iter_chain_partitions():
console.stdoutln("TLS GROUPS: %d" % (cpartition.num_tls_segments()))
for tls in cpartition.iter_tls_segments():
tls.fit_to_chain(cpartition.chain)
console.endln()
def prnt_detailed_paths(self):
"""Debug
"""
hops = self.nparts
if not self.minimized:
return
dest_j = len(self.V) - 1
for h in xrange(1, hops + 1):
console.endln()
console.stdoutln("MINIMIZATON VERTEX PATH FOR %d SEGMENTS" % (h))
console.stdoutln("NODE LABEL HOPS COST PREVIOUS NODE EDGE")
self.__detailed_path(self.V, self.D, self.P, self.T, h)
def prnt_detailed_paths(self):
"""Debug
"""
hops = self.nparts
if not self.minimized:
return
dest_j = len(self.V) - 1
for h in xrange(1, hops + 1):
console.endln()
console.stdoutln("MINIMIZATON VERTEX PATH FOR %d SEGMENTS" % (h))
console.stdoutln(
"NODE LABEL HOPS COST PREVIOUS NODE EDGE"
)
self.__detailed_path(self.V, self.D, self.P, self.T, h)
def FitConstrainedTLSModel(analysis):
"""Calculates constrained TLS model for visualization.
"""
console.endln()
console.debug_stdoutln(">tlsmd_analysis->FitConstrainedTLSModel()")
console.stdoutln("CALCULATING CONSTRAINED TLS MODEL FOR VISUALIZATION")
## EAM Feb 2008 User job was getting stuck in fit_to_chain()
## Obviously it would be nice to fix the actual error, but at least we would
## like to be able to give it a swift non-fatal kick by sending SIGUSR1
signal.signal(signal.SIGUSR1, SIGUSR1_handler)
## Progress tracking
## - assume this portion of the run occupies 0.1 -> 0.5 of the total time
progress = 0.1
for chain in analysis.iter_chains():
console.stdoutln("CHAIN %s" % (chain.chain_id))
for cpartition in chain.partition_collection.iter_chain_partitions():
## cpartition.chain = "Segment(1:A, Res(MET,1,A)...Res(VAL,50,A))"
console.stdoutln("TLS GROUPS: %d" % (cpartition.num_tls_segments()))
for tls in cpartition.iter_tls_segments():
try:
tls.fit_to_chain(cpartition.chain)
## TODO: Write out data for residual plots.
#gp = gnuplots.LSQR_vs_TLS_Segments_Pre_Plot(cpartition.chain)
#console.stdoutln("FIT_TO_CHAIN_PATH: %s" % analysis.struct2_file_path)
except (RuntimeError, numpy.linalg.linalg.LinAlgError), e:
msg = " Runtime error for [%s]: %s, " % (
tls, e)
msg += "trying to continue..."
console.stdoutln(msg)
print console.formatExceptionInfo()
pass
## Track progress
progress += 0.4/analysis.num_chains()
progress_report = open("progress","w+")
print >> progress_report, progress
## progress_report.write(progress)
progress_report.close()
def IndependentTLSSegmentOptimization(analysis):
"""Performs the TLS graph minimization on all TLSGraphs.
"""
for chain in analysis.chains:
isopt = independent_segment_opt.ISOptimization(
chain,
conf.globalconf.min_subsegment_size,
conf.globalconf.nparts)
isopt.run_minimization()
if not isopt.minimized:
continue
console.endln()
console.stdoutln("="*79)
console.stdoutln("MINIMIZING CHAIN %s" % (chain))
isopt.prnt_detailed_paths()
chain.partition_collection = isopt.construct_partition_collection(conf.globalconf.nparts)
chain.partition_collection.struct = analysis.struct
def IsotropicADPDataSmoother(chain, num_smooth = 1):
"""Experimental data smoothing of temperature factors.
"""
console.endln()
console.stdoutln("SMOOTHING CHAIN %s ADPs" % (chain.chain_id))
console.kvformat("SMOOTH WINDOW", 2 * num_smooth + 1)
num_frags = len(chain)
smooth_uiso = dict()
ifrag_start = num_smooth
ifrag_end = num_frags - num_smooth - 1
for ifrag in xrange(ifrag_start, ifrag_end + 1):
smooth_frag = chain[ifrag]
frag1 = chain[ifrag - num_smooth]
frag2 = chain[ifrag + num_smooth]
IT, IL, IS, IOrigin = IsotropicFitSegmentOutlierRejection(
chain, frag1.fragment_id, frag2.fragment_id)
for atm, uiso in TLS.iter_itls_uiso(smooth_frag.iter_all_atoms(),
IT, IL, IS, IOrigin):
smooth_uiso[atm] = uiso
if ifrag == ifrag_start:
for i in range(ifrag_start):
smooth_frag = chain[i]
for atm, uiso in TLS.iter_itls_uiso(smooth_frag.iter_all_atoms(),
IT, IL, IS, IOrigin):
smooth_uiso[atm] = uiso
elif ifrag == ifrag_end:
for i in range(ifrag_end + 1, num_frags):
smooth_frag = chain[i]
for atm, uiso in TLS.iter_itls_uiso(smooth_frag.iter_all_atoms(),
IT, IL, IS, IOrigin):
smooth_uiso[atm] = uiso
for atm, uiso in smooth_uiso.iteritems():
atm.temp_factor = Constants.U2B * uiso
atm.U = numpy.identity(3, float) * uiso
def IsotropicADPDataSmoother(chain, num_smooth=1):
"""Experimental data smoothing of temperature factors
"""
console.endln()
console.stdoutln("SMOOTHING CHAIN %s ADPs" % (chain.chain_id))
conesole.kvformat("SMOOTH WINDOW", 2 * num_smooth + 1)
num_frags = len(chain)
smooth_uiso = dict()
ifrag_start = num_smooth
ifrag_end = num_frags - num_smooth - 1
for ifrag in xrange(ifrag_start, ifrag_end + 1):
smooth_frag = chain[ifrag]
frag1 = chain[ifrag - num_smooth]
frag2 = chain[ifrag + num_smooth]
IT, IL, IS, IOrigin = IsotropicFitSegmentOutlierRejection(
chain, frag1.fragment_id, frag2.fragment_id)
for atm, uiso in TLS.iter_itls_uiso(smooth_frag.iter_all_atoms(), IT,
IL, IS, IOrigin):
smooth_uiso[atm] = uiso
if ifrag == ifrag_start:
for i in range(ifrag_start):
smooth_frag = chain[i]
for atm, uiso in TLS.iter_itls_uiso(
smooth_frag.iter_all_atoms(), IT, IL, IS, IOrigin):
smooth_uiso[atm] = uiso
elif ifrag == ifrag_end:
for i in range(ifrag_end + 1, num_frags):
smooth_frag = chain[i]
for atm, uiso in TLS.iter_itls_uiso(
smooth_frag.iter_all_atoms(), IT, IL, IS, IOrigin):
smooth_uiso[atm] = uiso
for atm, uiso in smooth_uiso.iteritems():
atm.temp_factor = Constants.U2B * uiso
atm.U = numpy.identity(3, float) * uiso
def prnt_detailed_paths(self):
"""Prints out detailed information on the minimization of each vertex
path for n segments with Node Label, Hops, Cost, Previous Node, and
Edge.
"""
hops = self.nparts
if not self.minimized:
return
dest_j = len(self.V) - 1
for h in xrange(1, hops + 1):
console.endln()
console.stdoutln("MINIMIZATON VERTEX PATH FOR %d SEGMENTS" % (h))
header = "NODE LABEL" + " "*14 # V: "V50[C-TERM]"
header += "HOPS" + " "*6 # D: "1"
header += "COST" + " "*6 # P: "0.0943"
header += "PREVIOUS NODE" + " "*10 # T: "V0[N-TERM]"
header += "EDGE" # h: "(0, 50, 0.094,('1', '50')) 0.002"
console.stdoutln(header)
self.__detailed_path(self.V, self.D, self.P, self.T, h)
def IndependentTLSSegmentOptimization(analysis):
"""Performs the TLS graph minimization on all TLSGraphs.
"""
for chain in analysis.chains:
isopt = independent_segment_opt.ISOptimization(
chain,
conf.globalconf.min_subsegment_size,
conf.globalconf.nparts)
## TODO: Divide this into two CPU times, 2009-12-10
#console.stdoutln("CPU_TIME ->ISOptResidualGraph: %s" % time.clock())
isopt.run_minimization()
if not isopt.minimized:
continue
console.endln()
console.stdoutln("="*79)
console.debug_stdoutln(">tlsmd_analysis->IndependentTLSSegmentOptimization()")
console.stdoutln("MINIMIZING CHAIN %s" % (chain))
isopt.prnt_detailed_paths()
chain.partition_collection = isopt.construct_partition_collection(conf.globalconf.nparts)
chain.partition_collection.struct = analysis.struct
def SumperimposeHomologousStructure(analysis):
"""
"""
import structcmp
target_struct = FileIO.LoadStructure(fil = analysis.struct2_file_path)
target_chain = target_struct.get_chain(analysis.struct2_chain_id)
if target_chain is None:
console.stderrln(
"UNABLE TO LOAD TARGET STRUCTURE/CHAIN: %s:%s" % (
target_struct, target_chain))
return
analysis.target_chain = target_chain
for chain in analysis.iter_chains():
console.endln()
console.kvformat("Superimposing Chain", chain.chain_id)
hyp = structcmp.TLSConformationPredctionHypothosis(chain, target_chain)
for ntls, cpartition in chain.partition_collection.iter_ntls_chain_partitions():
console.endln()
console.stdoutln("Number of TLS Segments........: %d" % (ntls))
hyp.add_conformation_prediction_to_chain_partition(cpartition)
msg = " Runtime error for [%s]: %s, " % (
tls, e)
msg += "trying to continue..."
console.stdoutln(msg)
print console.formatExceptionInfo()
pass
## Track progress
progress += 0.4/analysis.num_chains()
progress_report = open("progress","w+")
print >> progress_report, progress
## progress_report.write(progress)
progress_report.close()
console.cpu_time_stdoutln("->FitConstrainedTLSModel: %s" % time.clock())
console.endln()
def SuperimposeHomologousStructure(analysis):
"""
"""
import structcmp
target_struct = FileIO.LoadStructure(fil = analysis.struct2_file_path)
target_chain = target_struct.get_chain(analysis.struct2_chain_id)
if target_chain is None:
console.stderrln(
"UNABLE TO LOAD TARGET STRUCTURE/CHAIN: %s:%s" % (
target_struct, target_chain))
return
def RecombineIndependentTLSSegments(analysis):
console.endln()
console.stdoutln("TLS SEGMENT RECOMBINATION")
for chain in analysis.chains:
cpartition_recombination.ChainPartitionRecombinationOptimization(chain)
