Hi,
I am trying to optimize a loop in close proximity to a ligand. For some reason, the intial models have the ligand present, while the loop optimized models do not. Hence, there are major clashes between some of the calculated loops and the ligand. Is it possible to optimize loops in the presence of the ligand?
My input script:
# Homology modeling by the automodel class from modeller import * # Load standard Modeller classes from modeller.automodel import * # Load the automodel class
log.verbose() # request verbose output env = environ() # create a new MODELLER environment to build this model in
# directories for input atom files env.io.atom_files_directory = 'MODELLER'
class mymodel(loopmodel): def special_restraints(self, aln): rsr = self.restraints rsr.add(atom_ids=('CA:189', 'CA:372'), restraint_parameters=(3, 1, 1, 27, 2, 2, 0, 10.0, 0.1)) rsr.add(atom_ids=('CA:189', 'CA:393'), restraint_parameters=(3, 1, 1, 27, 2, 2, 0, 10.0, 0.1)) rsr.add(atom_ids=('CA:372', 'CA:393'), restraint_parameters=(3, 1, 1, 27, 2, 2, 0, 10.0, 0.1))
def special_patches(self, aln): self.patch(residue_type='DISU', residues=(self.residues['176'], self.residues ['185'])) def select_loop_atoms(self): return selection(self.residue_range('378:', '383:'))
a = mymodel(env, alnfile = 'MODELLER/alignment.pir', # alignment filename knowns = 'template', # codes of the templates sequence = 'target') # code of the target
a.starting_model= 1 # index of the first model a.ending_model = 1 # index of the last model
a.loop.starting_model = 1 # First loop model a.loop.ending_model = 2 # Last loop model
a.make() # do the actual homology modeling
Thanks,
Thijs Beuming