Exemplo n.º 1
0
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)
Exemplo n.º 2
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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)
Exemplo n.º 3
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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)
Exemplo n.º 4
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def first_group_refinement(experiment):
    """Start all ensembles for the Design Groups"""
    # Start sharing (for file creation reasons)
    SHARING.Start(experiment)
    # Loop through the design groups
    print "Check1"
    for group in experiment:
        gn = group.number
        # Generate the name for the Design Group's calculations
        folder = "Group" + str(gn)
        try:
            os.mkdir(folder)
        except OSError:
            pass
        os.chdir(folder)
        # Start each ensemble
        for en in range(1, experiment["Ensemble Number"] + 1):
            eFolder = "Ensemble" + str(en)
            do = SHARING.claim_calculations(eFolder)
            # If this processor has started the calculations for this ensemble
            print en, do
            if do:
                # Make sure the experiment has the right structures and energies
                SHARING.update_Current(experiment, "../Current/", gn)
                SHARING.update_Energies(experiment, "../Current/", gn)
                # Move into the folder
                os.chdir(eFolder)
                # Make a copy of the best structures and energies for the group
                os.mkdir("Current")
                SHARING.output_Current(experiment, "./Current/", gn, 0)
                os.mkdir("Best")
                SHARING.output_Current(experiment, "./Best/", gn)
                SHARING.output_Energies(experiment, "./Best/", gn)
                # Move out of the e Folder
                os.chdir("../")
                SHARING.End(experiment)
                # Do the ensemble refinement
                ensemble_refinement(experiment, gn, en)
                SHARING.Start(experiment)
        # Move out of the folder
        os.chdir("../")
    SHARING.End(experiment)
Exemplo n.º 5
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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
Exemplo n.º 6
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def Finish(experiment, mn):
    """Finish the initial creation of a mutant"""
    # Sharing was started in check finish
    # Load the structures and energies
    SHARING.update_Current(experiment, "./Current/")
    SHARING.update_Energies(experiment, "./Current/")
    # Create a brief summary of the information
    experiment["Summary"] = '\nMutant ' + str(mn) + " Creation\n"
    f = open("Group1/Group1_Summary.txt", "r")
    for line in f:
        if line.startswith("Started"):
            experiment["Summary"] += line
            break
    f.close()
    # Include information about the energies
    for group in experiment:
        experiment["Summary"] += \
            SHARING.format_energies(experiment["Energies"][group.number], \
                                    group.number, False)
    # Put this in the overall summary
    os.chdir(experiment["Folder"])
    name = SHARING.summary_name(SHARING.get_current())
    f = open(name, "a")
    f.write(experiment["Summary"])
    f.close()
    # Make a folder to do the structure refinements in
    folder = "mutant" + str(mn)
    os.mkdir(folder)
    folder += "/Current/"
    os.mkdir(folder)
    SHARING.output_Current(experiment, folder)
    SHARING.output_Energies(experiment, folder)
    f = open(folder + "iteration.txt", "w")
    f.write(str(mn))
    f.close()
    # Delete the current folder
    name = "initial_mutant" + str(mn)
    os.system("rm -rf " + name)
    # End sharing
    SHARING.End(experiment)
Exemplo n.º 7
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def Finish(experiment, mn):
    """Finish the initial creation of a mutant"""
    # Sharing was started in check finish
    # Load the structures and energies
    SHARING.update_Current(experiment, "./Current/")
    SHARING.update_Energies(experiment, "./Current/")
    # Create a brief summary of the information
    experiment["Summary"] = '\nMutant ' + str(mn) + " Creation\n"
    f = open("Group1/Group1_Summary.txt", "r")
    for line in f:
        if line.startswith("Started"):
            experiment["Summary"] += line
            break
    f.close()
    # Include information about the energies
    for group in experiment:
        experiment["Summary"] += \
            SHARING.format_energies(experiment["Energies"][group.number], \
                                    group.number, False)
    # Put this in the overall summary
    os.chdir(experiment["Folder"])
    name = SHARING.summary_name(SHARING.get_current())
    f = open(name, "a")
    f.write(experiment["Summary"])
    f.close()
    # Make a folder to do the structure refinements in
    folder = "mutant" + str(mn)
    os.mkdir(folder)
    folder += "/Current/"
    os.mkdir(folder)
    SHARING.output_Current(experiment, folder)
    SHARING.output_Energies(experiment, folder)
    f = open(folder + "iteration.txt", "w")
    f.write(str(mn))
    f.close()
    # Delete the current folder
    name = "initial_mutant" + str(mn)
    os.system("rm -rf " + name)
    # End sharing
    SHARING.End(experiment)
Exemplo n.º 8
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def first_group_refinement(experiment):
    """Start all ensembles for the Design Groups"""
    # Start sharing (for file creation reasons)
    SHARING.Start(experiment)
    # Loop through the design groups
    for group in experiment:
        gn = group.number
        # Generate the name for the Design Group's calculations
        folder = "Group" + str(gn)
        try:
            os.mkdir(folder)
        except OSError:
            pass
        os.chdir(folder)
        # Start each ensemble
        for en in range(1, experiment["Ensemble Number"] + 1):
            eFolder = "Ensemble" + str(en)
            do = SHARING.claim_calculations(eFolder)
            # If this processor has started the calculations for this ensemble
            if do:
                # Make sure the experiment has the right structures and energies
                SHARING.update_Current(experiment, "../Current/", gn)
                SHARING.update_Energies(experiment, "../Current/", gn)
                # Move into the folder
                os.chdir(eFolder)
                # Make a copy of the best structures and energies for the group
                os.mkdir("Current")
                SHARING.output_Current(experiment, "./Current/", gn, 0)
                os.mkdir("Best")
                SHARING.output_Current(experiment, "./Best/", gn)
                SHARING.output_Energies(experiment, "./Best/", gn)
                # Move out of the e Folder
                os.chdir("../")
                SHARING.End(experiment)
                # Do the ensemble refinement
                ensemble_refinement(experiment, gn, en)
                SHARING.Start(experiment)
        # Move out of the folder
        os.chdir("../")
    SHARING.End(experiment)
Exemplo n.º 9
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def store_results(experiment, IEs, BEs, CEs, mn=None):
    """Store the results of the refinement and share them"""
    # If this isn't a mutator, get the current iteration
    if experiment["Type"] != "Mutator":
        f = open("./Current/iteration.txt", "r")
        mn = int(f.readline())
        f.close()
    # Go through the Design Groups, identify the chosen ensemble, and store the
    # structures and relevant energies
    for group in experiment:
        if group.number == len(experiment) and BEs != {}:
            continue
        # Store the energies
        experiment["Energies"][group.number] = {}
        experiment["Energies"][group.number]["Complex"] = \
                CEs[group.number]["Average"][0]
        experiment["Energies"][group.number]["Interaction"] = \
                IEs[group.number]["Average"][0]
        if BEs != {}:
            experiment["Energies"][group.number]["Binding"] = \
                BEs[group.number]["Average"][0]
            # Identify the best ensemble structure
            en = BEs[group.number]["Choice"][0]
        # Otherwise get the best ensemble structure from the IEs
        else:
            en = IEs[group.number]["Choice"][0]
        # Load the structures from that ensemble
        folder = "Group" + str(group.number) + "/Ensemble" + str(en) + "/Best/"
        SHARING.update_Current(experiment, folder, group.number)
        # If this isn't a mutator, share them in the Experiment's folder
        if experiment["Type"] != "Mutator":
            # Share the structures in the Experiment's Current folder
            SHARING.output_Current(experiment, experiment["Folder"]+"Current/",\
                                   group.number, mn)
        # Share the results
        SHARING.output_best(experiment, mn, group.number)
Exemplo n.º 10
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def Start(experiment, iteration, gn=None):
    """Create a folder to run a refinement in."""
    # Only do this when appropriate
    if not experiment["Do Refinement"] or gn != None or experiment["Activity"] \
    != "Standard":
        return False
    # Try to make the directory
    if experiment["Type"] == "Mutator":
        folder = "wildtype"
    else:
        folder = "refinement"
    try:
        os.mkdir(folder)
    except OSError:
        return False
    # Assuming that was successful, prep that folder
    folder += "/Current/"
    os.mkdir(folder)
    SHARING.output_Current(experiment, folder)
    SHARING.output_Energies(experiment, folder)
    f = open(folder + "iteration.txt", "w")
    f.write(str(iteration))
    f.close()
    return True
Exemplo n.º 11
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def store_results(experiment, IEs, BEs, CEs, mn = None):
    """Store the results of the refinement and share them"""
    # If this isn't a mutator, get the current iteration
    if experiment["Type"] != "Mutator":
        f = open("./Current/iteration.txt", "r")
        mn = int(f.readline())
        f.close()
    # Go through the Design Groups, identify the chosen ensemble, and store the
    # structures and relevant energies
    for group in experiment:
        if group.number == len(experiment) and BEs != {}:
            continue
        # Store the energies
        experiment["Energies"][group.number] = {}
        experiment["Energies"][group.number]["Complex"] = \
                CEs[group.number]["Average"][0]
        experiment["Energies"][group.number]["Interaction"] = \
                IEs[group.number]["Average"][0]
        if BEs != {}:
            experiment["Energies"][group.number]["Binding"] = \
                BEs[group.number]["Average"][0]
            # Identify the best ensemble structure
            en = BEs[group.number]["Choice"][0]
        # Otherwise get the best ensemble structure from the IEs
        else:
            en = IEs[group.number]["Choice"][0]
        # Load the structures from that ensemble
        folder = "Group" + str(group.number) + "/Ensemble" + str(en) + "/Best/"
        SHARING.update_Current(experiment, folder, group.number)
        # If this isn't a mutator, share them in the Experiment's folder
        if experiment["Type"] != "Mutator":
            # Share the structures in the Experiment's Current folder
            SHARING.output_Current(experiment, experiment["Folder"]+"Current/",\
                                   group.number, mn)
        # Share the results
        SHARING.output_best(experiment, mn, group.number)
Exemplo n.º 12
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def Start(experiment, iteration, gn = None):
    """Create a folder to run a refinement in."""
    # Only do this when appropriate
    if not experiment["Do Refinement"] or gn != None or experiment["Activity"] \
    != "Standard":
        return False
    # Try to make the directory
    if experiment["Type"] == "Mutator":
        folder = "wildtype"
    else:
        folder = "refinement"
    try:
        os.mkdir(folder)
    except OSError:
        return False
    # Assuming that was successful, prep that folder
    folder += "/Current/"
    os.mkdir(folder)
    SHARING.output_Current(experiment, folder)
    SHARING.output_Energies(experiment, folder)
    f = open(folder + "iteration.txt", "w")
    f.write(str(iteration))
    f.close()
    return True
Exemplo n.º 13
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def make_extra_group(experiment):
    """Create an extra Design Group with no Target Molecules"""
    # Only do this if Binding energy calculations are being done
    if experiment["Energy Calculation"] == "Binding":
        # Get all of the Design Molecules from Design Group 1
        molecules = []
        for molecule in experiment[1]:
            if molecule.design:
                molecules.append(molecule)
        # Make and store a new Design Group (which duplicates these Molecules
        # for run independence reasons)
        N = len(experiment) + 1
        group = MOLECULES.DesignGroup(N, molecules, experiment["Force Field"], \
                                      experiment["File Format"])
        experiment._groupOrder.append(N)
        experiment._groups[N] = group
        n = len(experiment)
        # Update the Current dictionary, too
        experiment["Current"][n] = {}
        for molecule in experiment[n]:
            new = molecule.duplicate()
            experiment["Current"][n][new.name] = new
        # Those structures are essentially place holders at this point. However,
        # we do need to run an energy minimization and calculate an initial
        # energy for that group
        name = "Group" + str(n) + "_Energies.txt"
        SHARING.Start(experiment)
        # If another processor already did the calculation, we're fine
        if name not in os.listdir("./Current/"):
            # Try to make a temp directory to do the calculations in
            if "temp" not in os.listdir("./"):
                # Make the directory and move into it
                os.mkdir("temp")
                os.chdir("temp")
                # Stop sharing
                SHARING.End(experiment)
                # Copy in the relevant files
                SHARING.copy_standard_files(experiment, False)
                # Relax the Design Group
                refinement = IPRO_FUNCTIONS.Relaxation(experiment, n, True)
                # And calculate the energies
                energies, refinement = \
                          IPRO_FUNCTIONS.Calculate_Energy(experiment, n)
                # Move back up a folder
                os.chdir("../")
                # Start sharing
                SHARING.Start(experiment)
                # Store the energy
                text = SHARING.format_energies(energies[n])
                f = open("./Current/" + name, "w")
                f.write(text)
                f.close()
                SHARING.output_Current(experiment, "./Current/", n)
                # Delete the temp folder
                os.system("rm -rf temp")
            # Otherwise, just wait
            else:
                SHARING.End(experiment)
                SHARING.Wait("temp", "./")
                SHARING.Start(experiment)
        # Store that complex energy
        f = open("./Current/" + name, "r")
        experiment["Energies"][n] = {"Complex": float(f.readline().split()[2])}
        f.close()
        SHARING.End(experiment)
Exemplo n.º 14
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def make_extra_group(experiment):
    """Create an extra Design Group with no Target Molecules"""
    # Only do this if Binding energy calculations are being done
    if experiment["Energy Calculation"] == "Binding":
        # Get all of the Design Molecules from Design Group 1
        molecules = []
        for molecule in experiment[1]:
            if molecule.design:
                molecules.append(molecule)
        # Make and store a new Design Group (which duplicates these Molecules
        # for run independence reasons)
        N = len(experiment) + 1
        group = MOLECULES.DesignGroup(N, molecules, experiment["Force Field"], \
                                      experiment["File Format"])
        experiment._groupOrder.append(N)
        experiment._groups[N] = group
        n = len(experiment)
        # Update the Current dictionary, too
        experiment["Current"][n] = {}
        for molecule in experiment[n]:
            new = molecule.duplicate()
            experiment["Current"][n][new.name] = new
        # Those structures are essentially place holders at this point. However,
        # we do need to run an energy minimization and calculate an initial
        # energy for that group
        name = "Group" + str(n) + "_Energies.txt"
        SHARING.Start(experiment)
        # If another processor already did the calculation, we're fine
        if name not in os.listdir("./Current/"):
            # Try to make a temp directory to do the calculations in
            if "temp" not in os.listdir("./"):
                # Make the directory and move into it
                os.mkdir("temp")
                os.chdir("temp")
                # Stop sharing
                SHARING.End(experiment)
                # Copy in the relevant files
                SHARING.copy_standard_files(experiment, False)
                # Relax the Design Group
                refinement = IPRO_FUNCTIONS.Relaxation(experiment, n, True)
                # And calculate the energies
                energies, refinement = \
                          IPRO_FUNCTIONS.Calculate_Energy(experiment, n)
                # Move back up a folder
                os.chdir("../")
                # Start sharing
                SHARING.Start(experiment)
                # Store the energy
                text = SHARING.format_energies(energies[n])
                f = open("./Current/" + name, "w")
                f.write(text)
                f.close()
                SHARING.output_Current(experiment, "./Current/", n)
                # Delete the temp folder
                os.system("rm -rf temp")
            # Otherwise, just wait
            else:
                SHARING.End(experiment)
                SHARING.Wait("temp", "./")
                SHARING.Start(experiment)
        # Store that complex energy
        f = open("./Current/" + name, "r")
        experiment["Energies"][n] = {"Complex":float(f.readline().split()[2])}
        f.close()
        SHARING.End(experiment)