This creates a new set of group restraints. The set is initialized by reading in classes, a file containing a classification of residue:atom pairs into groups. If the parameters argument is also given, this is used to read in a file of restraint parameters, using GroupRestraints.append().
classes can be either a file name or a readable file handle (see modfile.File()).
# Example for: GroupRestraints() from modeller import * from modeller.scripts import complete_pdb env = Environ() env.io.atom_files_directory = ['../atom_files'] env.libs.topology.read(file='$(LIB)/top_heav.lib') env.libs.parameters.read(file='$(LIB)/par.lib') # Allow calculation of statistical (dynamic_modeller) potential env.edat.dynamic_modeller = True mdl = complete_pdb(env, "1fas") # Read Fiser/Melo loop modeling potential gprsr = GroupRestraints(env, classes='$(LIB)/atmcls-melo.lib', parameters='$(LIB)/melo1-dist.lib') # Read DOPE loop modeling potential #gprsr = GroupRestraints(env, classes='$(LIB)/atmcls-mf.lib', # parameters='$(LIB)/dist-mf.lib') # Read DOPE-HR loop modeling potential #gprsr = GroupRestraints(env, classes='$(LIB)/atmcls-mf.lib', # parameters='$(LIB)/dist-mfhr.lib') # Use this potential for the 1fas model mdl.group_restraints = gprsr # Evaluate the loop score of PDB residues 1 through 10 in chain A atmsel = Selection(mdl.residue_range('1:A', '10:A')) atmsel.energy()