#============================================================================================= # MODULE DOCSTRING #============================================================================================= """ GBVI_validation.py Test to compute the For each sdf entry in the sdf file, parse and construct the 3D coordinates from the 2D topology information. I believe the experimental hydration free energy is also listed there. Compute AM1-BCC charges. Create an OpenMM system for each molecule, and add a GBVIForce term. To the force term, you should add all the atoms, with GBVI parameters corresponding to types deduced by SMARTS. (There are luckily only a few types, and they are simple.). Be sure to also explicitly tell the GBVIForce object about the connectivity information. Compute the single-point potential energy by constructing a Context with some integrator and just getting the State, telling it you want the Energy. (Look at Randy's examples for how to do this.). This should correspond to Paul's listed hydration energy. """ #============================================================================================= # GLOBAL IMPORTS #============================================================================================= import os import math import numpy import simtk import simtk.chem.openmm as openmm import simtk.unit as units from openeye.oechem import * from openeye.oequacpac import * from openeye.oeszybki import * from openeye.oeomega import * # Load plugins. print "Loading plugins..." openmm.Platform.loadPluginsFromDirectory(os.path.join(os.environ['OPENMM_INSTALL_DIR'], 'lib')) openmm.Platform.loadPluginsFromDirectory(os.path.join(os.environ['OPENMM_INSTALL_DIR'], 'lib', 'plugins')) #============================================================================================= # GBVI Parameter class #============================================================================================= # Dict containing the values for GBVI parameters. # The second atom if present is the value of the first atom if it is bonded to it. # (i.e. H-O is the ['H']['O'][radius, gamma]) GBVIParameters = dict() GBVIParameters['AM1-BCC'] = {OEElemNo_H:{OEElemNo_N:[1.25, 1.0461],\ OEElemNo_O:[1.00, 2.2465],\ OEElemNo_P:[1.00, 1.4322],\ OEElemNo_S:[1.25, 0.8739],\ OEElemNo_C:[1.25, 0.2437]},\ OEElemNo_C:{'a':[2.00, -0.1199],\ 'x':[1.80, -0.2863]},\ OEElemNo_N:{'a':[1.65, -0.6263],\ 'x':[1.65, -4.0443]},\ OEElemNo_O:{'a':[1.40, 5.0707],\ 'x':[1.35, 0.6859]},\ OEElemNo_P:{'x':[2.15, -4.1181]},\ OEElemNo_S:{'x':[1.95, -1.0215],\ 'a':[1.95, -1.0215]},\ OEElemNo_F:{'x':[1.50, 1.9309]},\ OEElemNo_Cl:{'x':[1.80, 0.0131]},\ OEElemNo_Br:{'x':[2.40, -1.1648]},\ OEElemNo_I:{'x':[2.60, 0.0869]}} GBVIParameters['MMFF94'] = {OEElemNo_H:{OEElemNo_N:[1.50, -1.1686 ],\ OEElemNo_O:[1.15, -1.9987 ],\ OEElemNo_P:[1.25, -7.7321],\ OEElemNo_S:[1.50, -1.1690],\ OEElemNo_C:[1.50, 0.1237 ]},\ OEElemNo_C:{'a':[2.30, -0.2048 ],\ 'x':[2.15, -1.1087]},\ OEElemNo_N:{'a':[2.20, -2.0826],\ 'x':[2.20, -5.4887 ]},\ OEElemNo_O:{'a':[1.56, 3.9466],\ 'x':[1.85, -1.6709]},\ OEElemNo_P:{'x':[1.91, -6.1361 ]},\ OEElemNo_S:{'x':[2.10, -0.3279],\ 'a':[2.10, -0.3279]},\ OEElemNo_Cl:{'x':[2.10, 0.8911]},\ OEElemNo_F:{'x':[1.50, 2.3697]},\ OEElemNo_Br:{'x':[2.30, -0.5673]},\ OEElemNo_I:{'x':[2.30, -4.4705]}} #============================================================================================= # GB/VI comparison #============================================================================================= # Choose comparison mode. #mode = 'AM1-BCC' mode = 'MMFF94' # Create input stream from parameterized database. ifs = oemolistream('labute_3D_charged.oeb') # Open file for output outfile = open('gbvi.out', 'w') # Open file for writing small-molecule parameters. molecules_outfile = open('molecules.' + mode + '.out', 'w') # Initialize storage for experimental and calculated free energies of hydration. experiment = dict() calculated = dict() # Iterate over molecules for molecule in ifs.GetOEGraphMols(): # Get molecule name name = molecule.GetTitle() # Get experimental free energy dg_exp = molecule.GetFloatData('dg') * units.kilocalories_per_mole # Assign charges. if (mode == 'AM1-BCC'): # Assign AM1-BCC charges. noHydrogen = False # use explicit hydrogens OEAssignPartialCharges(molecule, OECharges_AM1BCC, noHydrogen) elif (mode == 'MMFF94'): # Assign MMFF94 charges. noHydrogen = False # use explicit hydrogens OEAssignFormalCharges(molecule) OEAssignPartialCharges(molecule, OECharges_MMFF94, noHydrogen) # Check that formal and partial charges sum up to the same amount. total_formal_charge = 0.0 total_partial_charge = 0.0 for atom in molecule.GetAtoms(): total_formal_charge += atom.GetFormalCharge() total_partial_charge += atom.GetPartialCharge() if abs(total_formal_charge - total_partial_charge) > 0.01: print "total formal charge: %f" % total_formal_charge print "total partial charge: %f" % total_partial_charge OEFormalPartialCharges(molecule) else: raise Exception("mode '%s' not recognized.") # Assign atomaticity. OEAssignAromaticFlags(molecule) # Create OpenMM System. system = openmm.System() for atom in molecule.GetAtoms(): mass = OEGetDefaultMass(atom.GetAtomicNum()) system.addParticle(mass * units.amu) # Add nonbonded term. # nonbonded_force = openmm.NonbondedSoftcoreForce() # nonbonded_force.setNonbondedMethod(openmm.NonbondedForce.NoCutoff) # for atom in molecule.GetAtoms(): # charge = 0.0 * units.elementary_charge # sigma = 1.0 * units.angstrom # epsilon = 0.0 * units.kilocalories_per_mole # nonbonded_force.addParticle(charge, sigma, epsilon) # system.addForce(nonbonded_force) # Add GBVI term #gbvi_force = openmm.GBVISoftcoreForce() gbvi_force = openmm.GBVIForce() gbvi_force.setNonbondedMethod(openmm.GBVIForce.NoCutoff) # set no cutoff gbvi_force.setSoluteDielectric(1.0) gbvi_force.setSolventDielectric(78) # Use scaling method. #gbvi_force.setBornRadiusScalingMethod(openmm.GBVISoftcoreForce.QuinticSpline) #gbvi_force.setQuinticLowerLimitFactor(0.75) #gbvi_force.setQuinticUpperBornRadiusLimit(50.0*units.nanometers) # Create list of OpenEye atoms in molecule. atoms = [atom for atom in molecule.GetAtoms()] # Add atomic parameters for atom in atoms: charge = atom.GetPartialCharge() * units.elementary_charge # Assign GB/VI parameters based on AM1-BCC parameters of Table 1 from DOI 10.1002/jcc radius = None gamma = None if atom.IsHydrogen(): # Atom is hydrogen; determine what it is bonded to. neighbors = [ neighbor for neighbor in atom.GetAtoms()] neighbor_type = neighbors[0].GetType() [radius, gamma] = GBVIParameters[mode][atom.GetAtomicNum()][neighbors[0].GetAtomicNum()] else: aromatic = 'x' if atom.IsAromatic(): aromatic = 'a' if atom.GetExplicitValence() > atom.GetExplicitDegree(): aromatic = 'a' try: [radius, gamma] = GBVIParameters[mode][atom.GetAtomicNum()][aromatic] except: [radius, gamma] = GBVIParameters[mode][atom.GetAtomicNum()]['x'] # Assign units for radius and gamma/ radius = units.Quantity(radius, units.angstroms) gamma = units.Quantity(gamma, units.kilojoules_per_mole) #if name.find('amine') > -1: #print "%5s %5s %8.3f Radius %8.3f A : gamma %8.3f kcal/mol" % (atom.GetName(), atom.GetType(), atom.GetPartialCharge(), radius / units.angstroms, gamma / units.kilocalories_per_mole) lambda_ = 1.0 # fully interacting # gbvi_force.addParticle(charge, radius, gamma, lambda_) # for GBVISoftcoreForce gbvi_force.addParticle(charge, radius, gamma) # Add bonds. for bond in molecule.GetBonds(): # Get atom indices. iatom = bond.GetBgnIdx() jatom = bond.GetEndIdx() # Get bond length. (xi, yi, zi) = molecule.GetCoords(atoms[iatom]) (xj, yj, zj) = molecule.GetCoords(atoms[jatom]) distance = math.sqrt((xi-xj)**2 + (yi-yj)**2 + (zi-zj)**2) * units.angstroms if name.find('amine') > -1: print distance # Identify bonded atoms to GBVI. gbvi_force.addBond(iatom, jatom, distance) # Add the force to the system. system.addForce(gbvi_force) # Build coordinate array. natoms = len(atoms) coordinates = units.Quantity(numpy.zeros([natoms, 3]), units.angstroms) for (index,atom) in enumerate(atoms): (x,y,z) = molecule.GetCoords(atom) coordinates[index,:] = units.Quantity(numpy.array([x,y,z]),units.angstroms) # Write molecule parameters. molecules_outfile.write('%s\n' % name) molecules_outfile.write('%d\n' % system.getNumParticles()) for index in range(gbvi_force.getNumParticles()): mass = system.getParticleMass(index) #[charge, radius, gamma, lambda_] = gbvi_force.getParticleParameters(index) # GBVISoftcoreForce [charge, radius, gamma] = gbvi_force.getParticleParameters(index) molecules_outfile.write('%5d %8.3f %8.5f %8.5f %12.6f %10.5f %10.5f %10.5f\n' % (index, mass / units.amu, charge / units.elementary_charge, radius / units.nanometers, gamma / units.kilojoules_per_mole, coordinates[index,0] / units.nanometers, coordinates[index,1] / units.nanometers, coordinates[index,2] / units.nanometers)) molecules_outfile.write('%d\n' % gbvi_force.getNumBonds()) for index in range(gbvi_force.getNumBonds()): [iatom, jatom, distance] = gbvi_force.getBondParameters(index) molecules_outfile.write('%5d %5d %5d %10.5f\n' % (index, iatom, jatom, distance / units.nanometers)) molecules_outfile.write('\n') # Create OpenMM Context. platform = openmm.Platform.getPlatformByName("Reference") timestep = 1.0 * units.femtosecond # arbitrary integrator = openmm.VerletIntegrator(timestep) context = openmm.Context(system, integrator) # Set the coordinates. context.setPositions(coordinates) # Get the energy state = context.getState(getEnergy=True) dg_gbvi = state.getPotentialEnergy() if math.isnan(dg_gbvi / units.kilocalories_per_mole): raise Exception("GBVI energy is nan.") # Store energies. experiment[name] = dg_exp calculated[name] = dg_gbvi # Clean up del system, context, integrator, coordinates outstring = "%48s %8.3f %8.3f" % (name, dg_exp / units.kilocalories_per_mole, dg_gbvi / units.kilocalories_per_mole) print outstring outfile.write(outstring + '\n') # Close input stream. ifs.close() outfile.close()