raise NotImplementedError('unknown ff = ' + str(ff))
if not quiet:
print ' Forcefield:', forcefield.__class__.__name__
if model == 'calpha':
selection = '(%s) and polymer and name CA' % (selection)
from cStringIO import StringIO
f = StringIO(cmd.get_pdbstr(selection))
conf = PDBConfiguration(f)
items = conf.createPeptideChains(model)
universe = InfiniteUniverse(forcefield)
universe.protein = Protein(*items)
nbasis = max(10, universe.numberOfAtoms()/5)
cutoff, nbasis = estimateCutoff(universe, nbasis)
if not quiet:
print " Calculating %d low-frequency modes." % nbasis
if cutoff is None:
modes = NormalModes(universe)
else:
subspace = FourierBasis(universe, cutoff)
modes = SubspaceNormalModes(universe, subspace)
natoms = modes.array.shape[1]
frequencies = modes.frequencies
if factor < 0:
factor = log(natoms)
def normalmodes_mmtk(selection,
cutoff=12.0,
ff='Deformation',
first=7,
last=10,
prefix='mmtk',
states=7,
factor=-1,
quiet=1):
'''
DESCRIPTION
Fast normal modes for large proteins using an elastic network model (CA only)
Based on:
http://dirac.cnrs-orleans.fr/MMTK/using-mmtk/mmtk-example-scripts/normal-modes/
'''
try:
import MMTK
except ImportError:
print('Failed to import MMTK, please add to PYTHONPATH')
raise CmdException
selection = selector.process(selection)
cutoff = float(cutoff)
first, last = int(first), int(last)
states, factor, quiet = int(states), float(factor), int(quiet)
from math import log
from chempy import cpv
from MMTK import InfiniteUniverse
from MMTK.PDB import PDBConfiguration
from MMTK.Proteins import Protein
from MMTK.NormalModes import NormalModes
from MMTK.ForceFields import DeformationForceField, CalphaForceField
from MMTK.FourierBasis import FourierBasis, estimateCutoff
from MMTK.NormalModes import NormalModes, SubspaceNormalModes
model = 'calpha'
ff = ff.lower()
if 'deformationforcefield'.startswith(ff):
forcefield = DeformationForceField(cutoff=cutoff / 10.)
elif 'calphaforcefield'.startswith(ff):
forcefield = CalphaForceField(cutoff=cutoff / 10.)
elif 'amber94forcefield'.startswith(ff):
from MMTK.ForceFields import Amber94ForceField
forcefield = Amber94ForceField()
model = 'all'
else:
raise NotImplementedError('unknown ff = ' + str(ff))
if not quiet:
print(' Forcefield:', forcefield.__class__.__name__)
if model == 'calpha':
selection = '(%s) and polymer and name CA' % (selection)
f = StringIO(cmd.get_pdbstr(selection))
conf = PDBConfiguration(f)
items = conf.createPeptideChains(model)
universe = InfiniteUniverse(forcefield)
universe.protein = Protein(*items)
nbasis = max(10, universe.numberOfAtoms() / 5)
cutoff, nbasis = estimateCutoff(universe, nbasis)
if not quiet:
print(" Calculating %d low-frequency modes." % nbasis)
if cutoff is None:
modes = NormalModes(universe)
else:
subspace = FourierBasis(universe, cutoff)
modes = SubspaceNormalModes(universe, subspace)
natoms = modes.array.shape[1]
frequencies = modes.frequencies
if factor < 0:
factor = log(natoms)
if not quiet:
print(' set factor to %.2f' % (factor))
if True: # cmd.count_atoms(selection) != natoms:
import tempfile, os
from MMTK import DCD
filename = tempfile.mktemp(suffix='.pdb')
sequence = DCD.writePDB(universe, None, filename)
z = [a.index for a in sequence]
selection = cmd.get_unused_name('_')
cmd.load(filename, selection, zoom=0)
os.remove(filename)
if cmd.count_atoms(selection) != natoms:
print('hmm... still wrong number of atoms')
def eigenfacs_iter(mode):
x = modes[mode - 1].array
return iter(x.take(z, 0))
for mode in range(first, min(last, len(modes)) + 1):
name = prefix + '%d' % mode
cmd.delete(name)
if not quiet:
print(' normalmodes: object "%s" for mode %d with freq. %.6f' % \
(name, mode, frequencies[mode-1]))
for state in range(1, states + 1):
cmd.create(name, selection, 1, state, zoom=0)
cmd.alter_state(
state,
name,
'(x,y,z) = cpv.add([x,y,z], cpv.scale(next(myit), myfac))',
space={
'cpv': cpv,
'myit': eigenfacs_iter(mode),
'next': next,
'myfac':
1e2 * factor * ((state - 1.0) / (states - 1.0) - 0.5)
})
cmd.delete(selection)
if model == 'calpha':
cmd.set('ribbon_trace_atoms', 1, prefix + '*')
cmd.show_as('ribbon', prefix + '*')
else:
cmd.show_as('lines', prefix + '*')
else:
raise NotImplementedError('unknown ff = ' + str(ff))
if not quiet:
print(' Forcefield:', forcefield.__class__.__name__)
if model == 'calpha':
selection = '(%s) and polymer and name CA' % (selection)
f = StringIO(cmd.get_pdbstr(selection))
conf = PDBConfiguration(f)
items = conf.createPeptideChains(model)
universe = InfiniteUniverse(forcefield)
universe.protein = Protein(*items)
nbasis = max(10, universe.numberOfAtoms() / 5)
cutoff, nbasis = estimateCutoff(universe, nbasis)
if not quiet:
print(" Calculating %d low-frequency modes." % nbasis)
if cutoff is None:
modes = NormalModes(universe)
else:
subspace = FourierBasis(universe, cutoff)
modes = SubspaceNormalModes(universe, subspace)
natoms = modes.array.shape[1]
frequencies = modes.frequencies
if factor < 0:
factor = log(natoms)
