Esempio n. 1
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    def __init__(self, ff_type=None, system_file=None, **kwargs):
        """Two pathways can be used starting from FF-specific files
        or OpenMM XML system. Additional kwargs are variously used
        depending on the forcefield / pathway that was chosen.

        supported ff_type
        -----------------
        amber :: give a prmtop and an inpcrd
        openmm :: give an XML file for the system

        supported kwargs
        ----------------
        topology :: system-specific or not depending on FF
        coordinates :: source of coordinates for initial state
        """

        assert (ff_type is None) or (system_file is None)

        # This dict will store the API calls
        # along with atom groups and force
        # parameters needed to generate all
        # the given restraints
        self._restraints = dict()
        self._topology = None

        topofile = kwargs.get("topology", None)
        coordfile = kwargs.get("coordinates", None)

        if ff_type is not None:
            if ff_type.lower() == "amber":
                prmtop = AmberPrmtopFile(topofile)
                inpcrd = AmberInpcrdFile(coordfile)
                self.system = prmtop.createSystem(
                    nonbondedMethod=NoCutoff
                )  #CutoffNonPeriodic - according to Ada, this would be good bc its what amber does - preliminary tests show that this hurts small/medium proteins
                self._topology = Topology.from_openmm(prmtop.topology)
                self._positions = inpcrd

        elif system_file is not None:
            self.load_xml(system_file)
            if topofile:
                if topofile.endswith(".pdb"):
                    # this line is a bit silly but Topology class
                    # doesn't seem to directly load PDB so keeps
                    # the imports clean
                    self._topology = Topology.from_openmm(
                        PDBFile(topofile).topology)

        else:
            # Inspect and set ff_type
            # TODO ff_type as instance attribute
            pass
Esempio n. 2
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    def show_conformations(self,centers_indices=None, rotations_indices=None, nodes_labels=None,
                          least_rmsd_fit='receptor', center_rmsd_fit='receptor'):

        tmp_molcomplex = self.get_conformations(centers_indices, rotations_indices, nodes_labels)
        tmp_mdtraj_topol = _mdtraj_topology.from_openmm(tmp_molcomplex.topology)
        tmp_mdtraj_traj = _mdtraj_trajectory(tmp_molcomplex.positions/unit.nanometer,tmp_mdtraj_topol)
        tmp_view = _nv_show_mdtraj(tmp_mdtraj_traj)
        del(tmp_molcomplex, tmp_mdtraj_topol, tmp_mdtraj_traj)
        return tmp_view
Esempio n. 3
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 def subset(self, selector):
     """
     Returns a list of atom indices corresponding to a MDTraj DSL
     query. Also will accept list of numbers, which will be coerced
     to int and returned.
     """
     if isinstance(selector, (list, tuple)):
         return map(int, selector)
     selector = SELECTORS.get(selector, selector)
     mdtop = MDTrajTopology.from_openmm(self.handler.topology)
     return mdtop.select(selector)
Esempio n. 4
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def render_traj(topology, positions):
    traj = Trajectory(positions / unit.nanometers,
                      Topology.from_openmm(topology))
    return (show_mdtraj(traj).add_ball_and_stick('all').center_view(zoom=True))