Esempio n. 1
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def finish_initialization(experiment):
    """Finish an initialization"""
    # Sharing is already started and the structures and energies have already
    # been loaded into the Experiment
    # Make the initial experiment summary
    experiment["Summary"] = "Initial Calculations\n"
    # Determine when they started
    f = open(experiment["Folder"]+"initialize/Group1/Group1_Summary.txt","r")
    for line in f:
        if line.startswith("Started"):
            experiment["Summary"] += line
            break
    f.close()
    # Include the energies of each Design Group
    for group in experiment:
        experiment["Summary"] += SHARING.format_energies(\
                   experiment["Energies"][group.number], group.number, False)
    # Create the initial folder in results
    SHARING.output_best(experiment, 0, None)
    # Figure out the name of the output file
    if experiment["Type"] == "Mutator":
        folder = experiment["Folder"] + "results/wildtype/"
    else:
        folder = experiment["Folder"] + "results/initial/"
    # List the energies of each Target Molecule, too
    if experiment["Energy Calculation"] == "Binding":
        for molecule in experiment[0]:
            if not molecule.design:
                name = experiment["Folder"] + "initialize/Current/Molecule"
                name += molecule.name + "_Energy.txt"
                f = open(name, "r")
                energy = f.readline().split()[2]
                f.close()
                experiment["Summary"] += "The energy of Target Molecule "
                experiment["Summary"] += molecule.name + " is " + energy
                experiment["Summary"] += " kcal / mol\n"
                # Copy the file to the output folder
                os.system("cp " + name + " " + folder)
    # Move to the Experiment's folder
    os.chdir(experiment["Folder"])
    # Try to make the current folder
    try:
        os.mkdir("Current")
    except OSError:
        pass
    # Write the Structures to the Current folder
    SHARING.output_Current(experiment, "./Current/", None, 0)
    experiment["Last Update"] = 0
    # Start a refinment
    REFINEMENT.Start(experiment, 0, None)
    # Create the initial summary file
    experiment["Summary"] += "Ended" + SHARING.time_stamp()
    name = SHARING.summary_name(experiment["Folder"])
    f = open(name, "w")
    f.write(experiment["Summary"])
    f.close()
    # Remove the initialization folder
    os.system("rm -rf initialize")
    # End the sharing that was started elsewhere
    SHARING.End(experiment)
Esempio n. 2
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def initialize_molecule(experiment, mn):
    """Initialize a Molecule"""
    # Create the folder's name
    folder = "Molecule" + mn
    do = SHARING.claim_calculations(folder)
    # If this processor is doing the calculations
    if do:
        # Make a summary
        experiment["Summary"] = "Started" + SHARING.time_stamp()
        # Move into the folder
        os.chdir(folder)
        SHARING.copy_standard_files(experiment)
        # Get a unique copy of the Molecule
        molecule = experiment[0][mn].duplicate()
        for residue in molecule:
            residue.freedom = "FREE"
        # Store the calculated energies here
        energies = {}
        # Do a relaxation and energy calculation
        if experiment["Force Field"] == "CHARMM":
            CHARMM.Relaxation(molecule, experiment)
            energies["Complex"] = CHARMM.Energy(molecule, experiment)
        else:
            text = "The initialize molecule function does not support the "
            text += str(experiment["Force Field"]) + " force field."
            raise IPRO_Error(text)
        # Format the energy
        text = SHARING.format_energies(energies)
        experiment["Summary"] += text
        # Create the summary file for the Molecule
        experiment["Summary"] += "Ended" + SHARING.time_stamp()
        name = SHARING.summary_name(SHARING.get_current())
        f = open(name, "w")
        f.write(experiment["Summary"])
        f.close()
        # Leave this folder, then start sharing
        os.chdir('../')
        SHARING.Start(experiment)
        # Output the Molecule's structure
        name = "./Current/" + molecule.generate_name()
        molecule.output(name, molecule.fileFormat, experiment["User"])
        # Output the Complex energy
        f = open("./Current/Molecule" + mn + "_Energy.txt", "w")
        f.write(text)
        f.close()
        # End sharing
        SHARING.End(experiment)
Esempio n. 3
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def Start_Iteration(experiment, gn = None):
    """Start an iteration of IPRO"""
    # Do the standard initial checks
    if not isinstance(experiment, EXPERIMENT.Experiment):
        text = "The Start Iteration function requires an Experiment class "
        text += "object as its input."
        raise IPRO_Error(text)
    refinement = refinement_check(experiment, gn)
    if refinement:
        return 0, refinement
    # Start sharing so this processor has exclusive access to the shared files
    SHARING.Start(experiment)
    # Determine what iteration this will be
    iteration = SHARING.iteration_counter(SHARING.get_current(), True) + 1
    # Determine what the expected maximum number of iterations is
    ITERATIONS = max_iterations(experiment)
    # Create a folder
    while iteration <= ITERATIONS:
        folder = "iteration" + str(iteration)
        do = SHARING.claim_calculations(folder)
        if do:
            break
        else:
            iteration += 1
    # If a folder was made
    if iteration <= ITERATIONS:
        # Start a summary
        experiment["Summary"] = "Started" + SHARING.time_stamp()
        # Get the last time structures were updated
        N = SHARING.identify_last_update("./Current/")
        # If necessary, update the structures
        if N > experiment["Last Update"]:
            SHARING.update_Current(experiment, "./Current/", gn)
            experiment["Last Update"] = N
        # Say what structures are being used
        if experiment["Last Update"] == 0:
            experiment["Summary"] += "Using the initial structures\n"
        else:
            experiment["Summary"] += "Using the structures from iteration "
            experiment["Summary"] += str(experiment["Last Update"]) + "\n"
        # Move into the appropriate folder
        os.chdir(folder)
        # Copy in the C++ and force field files
        SHARING.copy_standard_files(experiment)
        # Update the Experiment's structures
        for group in experiment:
            if gn not in [None, group.number]:
                continue
            for molecule in group:
                text =format(experiment["Current"][group.number][molecule.name])
                molecule.load(text)
    # End sharing
    SHARING.End(experiment)
    return iteration, refinement
Esempio n. 4
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def initialize_group(experiment, gn):
    """Initialize a Design Group"""
    # Create the folder's name
    folder = "Group" + str(gn)
    # Try to claim it for calculations
    do = SHARING.claim_calculations(folder)
    # If this processor is doing the calculations
    if do:
        # Make a summary
        experiment["Summary"] = "Started" + SHARING.time_stamp()
        # Move into the folder and copy in files
        os.chdir(folder)
        SHARING.copy_standard_files(experiment)
        # Relax everything
        refinement = Relaxation(experiment, gn, True)
        # Assign closest rotamers
        Closest_Rotamers(experiment, gn)
        # Do another relaxation
        refinement = Relaxation(experiment, gn, True)
        # Calculate the initial energies
        energies, refinement = Calculate_Energy(experiment, gn)
        # Store the structures and energies
        store_structures(experiment, gn)
        store_energies(experiment, energies, gn)
        # Create a summary file
        experiment["Summary"] += "Ended" + SHARING.time_stamp()
        name = SHARING.summary_name(SHARING.get_current())
        f = open(name, "w")
        f.write(experiment["Summary"])
        f.close()
        # Move up a folder
        os.chdir("../")
        # Start sharing
        SHARING.Start(experiment)
        # output the structures and energies to the Current folder
        SHARING.output_Current(experiment, "./Current/", gn)
        SHARING.output_Energies(experiment, "./Current/", gn)
        # End sharing
        SHARING.End(experiment)
    return do
Esempio n. 5
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def End_Iteration(experiment, energies, iteration, gn):
    """End an iteration of IPRO."""
    # The standard initial checks
    if not isinstance(experiment, EXPERIMENT.Experiment):
        text = "The End Iteration function requires an Experiment class object "
        text += "as its input."
        raise IPRO_Error(text)
    refinement = refinement_check(experiment, gn)
    if refinement:
        return refinement
    # Move out of the iteration's folder
    os.chdir("../")
    # Start sharing
    SHARING.Start(experiment)
    # Load the appropriate reference energies
    if experiment["Activity"] == "Standard":
        SHARING.load_reference_Energies(experiment)
    else:
        SHARING.update_Energies(experiment, "./Best/", gn)
    # Determine the last completed iteration
    this = SHARING.iteration_counter(SHARING.get_current(), False) + 1
    # Determine whether or not keep the iteration results
    best, keep = iteration_decision(experiment, energies, this, gn)
    # If results should be kept, do so
    if best or keep:
        store_structures(experiment, gn)
        # If these are the best results so far, store the energies
        if best:
            store_energies(experiment, energies, gn)
    # If appropriate, share the results with other processors
    SHARING.Results(experiment, this, best, keep, gn)
    # Say what happened in the summary
    experiment["Summary"] = "\nIteration " + str(this) + "\n" + \
                            experiment["Summary"] + "The results were "
    if best:
        experiment["Summary"] += "the BEST so far\n"
    elif keep:
        experiment["Summary"] += "KEPT by simulated annealing\n"
    else:
        experiment["Summary"] += "DISCARDED\n"
    # Put a time stamp on the summary
    experiment["Summary"] += "Ended" + SHARING.time_stamp()
    # Get the name of the Summary file
    name = SHARING.summary_name(SHARING.get_current())
    f = open(name, "a")
    f.write(experiment["Summary"])
    f.close()
    # Delete the iteration
    os.system("rm -rf iteration" + str(iteration))
    # End sharing
    SHARING.End(experiment)
    return refinement
Esempio n. 6
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def Summarize(experiment, choice, IEs, BEs, CEs, mn=None):
    """Summarize the results of a structure refinement"""
    # Come up with an appropriate header
    if experiment["Type"] == "Mutator":
        if mn == 0:
            experiment["Summary"] = "\nWildtype Refinement Results\n"
        else:
            experiment["Summary"] = "\nMutant " + str(
                mn) + " Refinement Results\n"
    else:
        f = open("./Current/iteration.txt", "r")
        n = int(f.readline())
        f.close()
        if n == 0:
            experiment["Summary"] = "\nInitial Structures Refinement\n"
        else:
            experiment["Summary"] = "\nRefinement of Iteration " + str(
                n) + "\n"
    # Find out when the refinement started
    f = open("./Group1/Ensemble1/Ensemble1_Summary.txt", "r")
    for line in f:
        if line.startswith("Started"):
            experiment["Summary"] += line
            break
    f.close()
    # Store the information about the calculated energies
    for group in experiment:
        if experiment["Energy Calculation"] == "Binding" and group.number == \
        len(experiment):
            continue
        # Summarize Complex energy
        experiment["Summary"] += "Design Group " + str(group.number) + "\n"
        experiment["Summary"] += "Average Complex Energy: " + \
            format(CEs[group.number]["Average"][0], '.3f') + " +/- " + \
            format(CEs[group.number]["Average"][1], '.3f') + " kcal/mol\n"
        # IE
        experiment["Summary"] += "Average Interaction Energy: " + \
            format(IEs[group.number]["Average"][0], '.3f') + " +/- " + \
            format(IEs[group.number]["Average"][1], '.3f') + " kcal/mol\n"
        # BE
        if experiment["Energy Calculation"] == "Binding":
            experiment["Summary"] += "Average Binding Energy: " + \
            format(BEs[group.number]["Average"][0], '.3f') + " +/- " + \
            format(BEs[group.number]["Average"][1], '.3f') + " kcal/mol\n"
    if experiment["Type"] != "Mutator" and n != 0:
        if choice:
            experiment["Summary"] += "These were the BEST results so far\n"
        else:
            experiment["Summary"] += "These results were DISCARDED\n"
    # Say when the calculations finished
    experiment["Summary"] += "Ended" + SHARING.time_stamp()
Esempio n. 7
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def mutate_DesignGroups(experiment, mn):
    """Make the initial mutants of the Design Groups"""
    # Move into the folder to do the initial calculations in
    folder = "initial_mutant" + str(mn)
    os.chdir(folder)
    # Loop through the Design Groups
    for group in experiment:
        # The calculations will be stored in this folder
        folder = "Group" + str(group.number)
        # Try to claim the calculations
        do = SHARING.claim_calculations(folder)
        # If this processor is doing those calculations
        if do:
            # Time stamp when this started
            experiment["Summary"] = "Started" + SHARING.time_stamp()
            # Move into the folder
            os.chdir(folder)
            # Copy in the C++ and force field files
            SHARING.copy_standard_files(experiment)
            # Use the Current structures
            for molecule in experiment[group.number]:
                text =format(experiment["Current"][group.number][molecule.name])
                molecule.load(text)
            # Set the permissions for the Molecules
            permission_setter(experiment, group.number, mn)
            # Mutate the Residues
            refinement = IPRO_FUNCTIONS.Optimal_Rotamers(experiment, \
                                                         group.number)
            refinement = IPRO_FUNCTIONS.Relaxation(experiment, group.number, \
                                                   True)
            energies, refinement = IPRO_FUNCTIONS.Calculate_Energy(experiment, \
                                                                   group.number)
            # Start sharing
            SHARING.Start(experiment)
            # Write a brief summary file
            name = SHARING.summary_name(SHARING.get_current())
            f = open(name, "w")
            f.write(experiment["Summary"])
            f.close()
            # Move up a folder
            os.chdir("../")
            # Store the structures in the Current dictionary
            IPRO_FUNCTIONS.store_structures(experiment, group.number)
            IPRO_FUNCTIONS.store_energies(experiment, energies, group.number)
            # Write the structures to the Current folder
            SHARING.output_Current(experiment, "./Current/", group.number)
            SHARING.output_Energies(experiment, "./Current/", group.number)
            # End sharing
            SHARING.End(experiment)
Esempio n. 8
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def mutate_DesignGroups(experiment, mn):
    """Make the initial mutants of the Design Groups"""
    # Move into the folder to do the initial calculations in 
    folder = "initial_mutant" + str(mn)
    os.chdir(folder)
    # Loop through the Design Groups
    for group in experiment:
        # The calculations will be stored in this folder
        folder = "Group" + str(group.number)
        # Try to claim the calculations
        do = SHARING.claim_calculations(folder)
        # If this processor is doing those calculations
        if do:
            # Time stamp when this started
            experiment["Summary"] = "Started" + SHARING.time_stamp()
            # Move into the folder
            os.chdir(folder)
            # Copy in the C++ and force field files
            SHARING.copy_standard_files(experiment)
            # Use the Current structures
            for molecule in experiment[group.number]:
                text =format(experiment["Current"][group.number][molecule.name])
                molecule.load(text)
            # Set the permissions for the Molecules
            permission_setter(experiment, group.number, mn)
            # Mutate the Residues
            refinement = IPRO_FUNCTIONS.Optimal_Rotamers(experiment, \
                                                         group.number)
            refinement = IPRO_FUNCTIONS.Relaxation(experiment, group.number, \
                                                   True)
            energies, refinement = IPRO_FUNCTIONS.Calculate_Energy(experiment, \
                                                                   group.number) 
            # Start sharing
            SHARING.Start(experiment)
            # Write a brief summary file
            name = SHARING.summary_name(SHARING.get_current())
            f = open(name, "w")
            f.write(experiment["Summary"])
            f.close()
            # Move up a folder
            os.chdir("../")
            # Store the structures in the Current dictionary
            IPRO_FUNCTIONS.store_structures(experiment, group.number)
            IPRO_FUNCTIONS.store_energies(experiment, energies, group.number)
            # Write the structures to the Current folder
            SHARING.output_Current(experiment, "./Current/", group.number)
            SHARING.output_Energies(experiment, "./Current/", group.number)
            # End sharing
            SHARING.End(experiment)
Esempio n. 9
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def Summarize(experiment, choice, IEs, BEs, CEs, mn = None):
    """Summarize the results of a structure refinement"""
    # Come up with an appropriate header
    if experiment["Type"] == "Mutator":
        if mn == 0:
            experiment["Summary"] = "\nWildtype Refinement Results\n"
        else:
            experiment["Summary"] = "\nMutant " + str(mn)+" Refinement Results\n"
    else:
        f = open("./Current/iteration.txt", "r")
        n = int(f.readline())
        f.close()
        if n == 0:
            experiment["Summary"] = "\nInitial Structures Refinement\n"
        else:
            experiment["Summary"] = "\nRefinement of Iteration " + str(n) + "\n"
    # Find out when the refinement started
    f = open("./Group1/Ensemble1/Ensemble1_Summary.txt", "r")
    for line in f:
        if line.startswith("Started"):
            experiment["Summary"] += line
            break
    f.close()
    # Store the information about the calculated energies
    for group in experiment:
        if experiment["Energy Calculation"] == "Binding" and group.number == \
        len(experiment):
            continue
        # Summarize Complex energy
        experiment["Summary"] += "Design Group " + str(group.number) + "\n"
        experiment["Summary"] += "Average Complex Energy: " + \
            format(CEs[group.number]["Average"][0], '.3f') + " +/- " + \
            format(CEs[group.number]["Average"][1], '.3f') + " kcal/mol\n"
        # IE
        experiment["Summary"] += "Average Interaction Energy: " + \
            format(IEs[group.number]["Average"][0], '.3f') + " +/- " + \
            format(IEs[group.number]["Average"][1], '.3f') + " kcal/mol\n"
        # BE
        if experiment["Energy Calculation"] == "Binding":
            experiment["Summary"] += "Average Binding Energy: " + \
            format(BEs[group.number]["Average"][0], '.3f') + " +/- " + \
            format(BEs[group.number]["Average"][1], '.3f') + " kcal/mol\n"
    if experiment["Type"] != "Mutator" and n != 0:
        if choice:
            experiment["Summary"] += "These were the BEST results so far\n"
        else:
            experiment["Summary"] += "These results were DISCARDED\n"
    # Say when the calculations finished
    experiment["Summary"] += "Ended" + SHARING.time_stamp()