Source code for ligandparam.stages.gaussian

import os
import MDAnalysis as mda

from pathlib import Path

from ligandparam.stages.abstractstage import AbstractStage
from ligandparam.io.coordinates import Coordinates, SimpleXYZ, Mol2Writer
from ligandparam.io.gaussianIO import GaussianWriter, GaussianInput, GaussianReader
from ligandparam.interfaces import Gaussian, Antechamber



[docs] class StageGaussian(AbstractStage): def __init__(self, name, base_cls=None) -> None: """ This is class to run a basic Gaussian calculations on the ligand. This does three gaussian steps, one at a low level of theory, one at a higher level of theory, and one for the resp calculation. Parameters ---------- name : str The name of the stage base_cls : Ligand The base class of the ligand Returns ------- None """ self.name = name self.base_cls = base_cls self._add_outputs(f'gaussianCalcs/{self.base_cls.base_name}.log') # No required files for this stage to execute. return def _append_stage(self, stage: "AbstractStage") -> "AbstractStage": """Appends the stage. Args: stage (AbstractStage): _description_ Returns: AbstractStage: _description_ """ return stage def _execute(self, dry_run=False): """ Execute the Gaussian calculations. Parameters ---------- dry_run : bool, optional If True, the stage will not be executed, but the function will print the commands that would Returns ------- None """ stageheader = self.base_cls.header stageheader.append(f"%chk={self.base_cls.base_name}.antechamber.chk") # Set up the Gaussian Block - it does not yet write anything, # so this part can be set up before the Gaussian calculations are run. gau = GaussianWriter(f'gaussianCalcs/{self.base_cls.base_name}.com') gau.add_block(GaussianInput(command=f"#P {self.base_cls.theory['low']} OPT(CalcFC)", initial_coordinates = self.base_cls.coord_object.get_coordinates(), elements = self.base_cls.coord_object.get_elements(), charge = self.base_cls.net_charge, header=stageheader)) gau.add_block(GaussianInput(command=f"#P {self.base_cls.theory['high']} OPT(CalcFC) GEOM(ALLCheck) Guess(Read)", charge=self.base_cls.net_charge, header=stageheader)) gau.add_block(GaussianInput(command=f"#P {self.base_cls.theory['low']} GEOM(AllCheck) Guess(Read) NoSymm Pop=mk IOp(6/33=2) GFInput GFPrint", charge=self.base_cls.net_charge, header=stageheader)) # Check if the path exists, and make if needed. if not os.path.exists(f'gaussianCalcs'): os.mkdir('gaussianCalcs') gau_complete = False # Check if the Gaussian calculation has already been run if os.path.exists(f'gaussianCalcs/{self.base_cls.base_name}.log'): reader = GaussianReader(f'gaussianCalcs/{self.base_cls.base_name}.log') if reader.check_complete(): print("Gaussian calculation already complete") gau_complete = True # Check if the Gaussian calculation should be rerun if self.base_cls.force_gaussian_rerun: gau_complete = False if not gau_complete: gau.write(dry_run=dry_run) # Run the Gaussian calculations in the gaussianCalcs directory os.chdir('gaussianCalcs') if not gau_complete: gau_run = Gaussian() gau_run.call(inp_pipe=self.base_cls.base_name+'.com', out_pipe=self.base_cls.base_name+'.log', dry_run=dry_run) os.chdir('..') return def _clean(self): """ Clean the files generated during the stage. """ raise NotImplementedError("clean method not implemented")
[docs] class StageGaussianRotation(AbstractStage): def __init__(self, name, alpha = [0.0], beta = [0.0], gamma = [0.0], base_cls=None) -> None: """ This is class to rotate the ligand and run Gaussian calculations of the resp charges for each rotated ligand. Parameters ---------- name : str The name of the stage alpha : list The list of alpha angles to rotate the ligand beta : list The list of beta angles to rotate the ligand gamma : list The list of gamma angles to rotate the ligand base_cls : Ligand The base class of the ligand """ self.name = name #self.alpha = alpha #self.beta = beta #self.gamma = gamma self.alpha = [float(a) for a in alpha] self.beta = [float(b) for b in beta] self.gamma = [float(g) for g in gamma] if base_cls.coord_object is None: raise ValueError(f"Error (Stage {self.name}): Coordinate object not set") if base_cls.base_name is None: raise ValueError(f"Error (Stage {self.name}): Base name not set") if base_cls.header is None: raise ValueError(f"Error (Stage {self.name}): Header not set") self.base_cls = base_cls return def _append_stage(self, stage: "AbstractStage") -> "AbstractStage": """ Append the stage to the current stage. Parameters ---------- stage : AbstractStage The stage to append to the current stage """ return stage def _execute(self, dry_run=False): """ Execute the Gaussian calculations for the rotated ligands. Parameters ---------- dry_run : bool, optional If True, the stage will not be executed, but the function will print the commands that would Returns ------- """ # Check if the path exists, and make if needed orig_dir = Path.cwd() calc_dir = Path('gaussianCalcs') if not calc_dir.exists(): calc_dir.mkdir() run_apply = print store_coords = [] for a in self.alpha: for b in self.beta: for g in self.gamma: test_rotation = self.base_cls.coord_object.rotate(alpha=a, beta=b, gamma=g) store_coords.append(test_rotation) # Write a guassian input file newgau = GaussianWriter(f'gaussianCalcs/{self.base_cls.base_name}_rot_{a:0.2f}_{b:0.2f}_{g:0.2f}.com') newgau.add_block(GaussianInput(command=f"#P {self.base_cls.theory['low']} SCF(Conver=6) NoSymm Test Pop=mk IOp(6/33=2) GFInput GFPrint", initial_coordinates = test_rotation, elements = self.base_cls.coord_object.get_elements(), header=self.base_cls.header)) newgau.write(dry_run=dry_run) # Write the coordinates to a "trajectory" file self.write_rotation(store_coords) # Run the Gaussian calculations in the gaussianCalcs directory os.chdir(calc_dir) try: rot_count = 0 for a in self.alpha: for b in self.beta: for g in self.gamma: self._print_rotation(a, b, g) if dry_run: print("Dry run: Gaussian calculations not run") print("Would run the following file:") print(f'-->{self.base_cls.base_name}_rot_{a:.2f}_{b:.2f}_{g:.2f}.com') else: gau_run = Gaussian() gau_run.call(inp_pipe=f'{self.base_cls.base_name}_rot_{a:.2f}_{b:.2f}_{g:.2f}.com', out_pipe=f'{self.base_cls.base_name}_rot_{a:.2f}_{b:.2f}_{g:.2f}.log', dry_run=dry_run) rot_count += 1 self._print_status(rot_count, self.alpha, self.beta, self.gamma) finally: os.chdir(orig_dir) return def _print_rotation(self, alpha, beta, gamma): """ Print the rotation to the user. """ print(f"---> Rotation: alpha={alpha}, beta={beta}, gamma={gamma}") return def _print_status(self, count, alphas, betas, gammas): """ Print the status of the stage. Parameters ---------- count : int The current count of the rotations alphas : list The list of alpha angles betas : list The list of beta angles gammas : list The list of gamma angles """ total_count = len(alphas) * len(betas) * len(gammas) percent = count / total_count * 100 print(f"Current Rotation Progress: {percent:.2f}%%") return
[docs] def write_rotation(self, coords): """ Write the rotation to a file. """ print(f"--> Writing rotations to file: gaussianCalcs/{self.base_cls.base_name}_rotations.xyz") with open(f'gaussianCalcs/{self.base_cls.base_name}_rotations.xyz', 'w') as file_obj: for frame in coords: SimpleXYZ(file_obj, frame) return
def _clean(self): return
[docs] class StageGaussiantoMol2(AbstractStage): def __init__(self, name, base_cls=None, dry_run = None) -> None: """ Convert Gaussian output to mol2 format. This class converts the Gaussian output to mol2 format, and assigns the charges to the mol2 file. Parameters ---------- name : str The name of the stage base_cls : Ligand The base class of the ligand dry_run : bool, optional If True, the stage will not be executed, but the function will print the commands that would Returns ------- None """ self.name = name self.base_cls = base_cls self.dry_run = dry_run self.add_required(f'gaussianCalcs/{self.base_cls.base_name}.log') self.add_required(f'{self.base_cls.base_name}.antechamber.mol2') def _append_stage(self, stage: "AbstractStage") -> "AbstractStage": """ Append the stage to the current stage. """ return stage def _execute(self, dry_run=False): """ Execute the Gaussian to mol2 conversion. Parameters ---------- dry_run : bool, optional If True, the stage will not be executed, but the function will print the commands that would Returns ------- None """ import warnings warnings.filterwarnings("ignore") if self.dry_run is not None: dry_run = self logfile = Path(f'gaussianCalcs/{self.base_cls.base_name}.log') if not logfile.exists(): print(f"Problem with {logfile}") raise FileNotFoundError(f"Error (Stage {self.name}): Gaussian log file not found") # Convert from gaussian to mol2 ante = Antechamber() ante.call(i=logfile, fi='gout', o=self.base_cls.base_name+'.tmp1.mol2', fo='mol2', pf='y', at=self.base_cls.atom_type, dry_run = dry_run) # Assign the charges if not dry_run: u1 = mda.Universe(self.base_cls.base_name+'.antechamber.mol2') u2 = mda.Universe(self.base_cls.base_name+'.tmp1.mol2') assert len(u1.atoms) == len(u2.atoms), "Number of atoms in the two files do not match" u2.atoms.charges = u1.atoms.charges """ ag = u2.select_atoms("all") ag.write(self.base_cls.base_name+'.tmp2.mol2') # This exists because for some reason antechamber misinterprets # the mol2 file's blank lines in the atoms section. self.remove_blank_lines(self.base_cls.base_name+'.tmp2.mol2') """ Mol2Writer(u2, self.base_cls.base_name+'.tmp2.mol2', selection="all").write() # Use antechamber to clean up the mol2 format ante = Antechamber() ante.call(i=self.base_cls.base_name+'.tmp2.mol2', fi='mol2', o=self.base_cls.base_name+'.log.mol2', fo='mol2', pf='y', at=self.base_cls.atom_type, dry_run = dry_run) return def _clean(self): return
[docs] def remove_blank_lines(self, file_path): """ Remove blank lines from a file. Parameters ---------- file_path : str The path to the file to remove blank lines from Returns ------- None """ if Path(file_path).exists(): # Read the file and filter out blank lines with open(file_path, 'r') as file: lines = file.readlines() non_blank_lines = [line for line in lines if line.strip()] # Write the non-blank lines back to the file with open(file_path, 'w') as file: file.writelines(non_blank_lines)