refine_fft.py

#!/usr/bin/env python

__doc__ = "Refine fitting subunits into a density map with FFT."

import math
import IMP.multifit
import IMP.atom
import IMP.em
from IMP import OptionParser
import os
import sys


class Fitter(object):

    def __init__(
        self,
        em_map,
        spacing,
        resolution,
        origin,
        density_threshold,
        pdb,
        fits_fn,
        angle,
        num_fits,
        angles_per_voxel,
        max_trans,
        max_angle,
            ref_pdb=''):
        self.em_map = em_map
        self.spacing = spacing
        self.resolution = resolution
        self.threshold = density_threshold
        self.originx = origin[0]
        self.originy = origin[1]
        self.originz = origin[2]
        self.pdb = pdb
        self.fits_fn = fits_fn
        self.angle = angle
        self.num_fits = num_fits
        self.angles_per_voxel = angles_per_voxel
        self.max_trans = max_trans
        self.max_angle = max_angle
        self.ref_pdb = ref_pdb

    # TODO - update function
    def run_local_fitting(self, mol2fit, rb, initial_transformation):
        print "resolution is:", self.resolution
        dmap = IMP.em.read_map(self.em_map)
        dmap.get_header().set_resolution(self.resolution)
        dmap.update_voxel_size(self.spacing)
        dmap.set_origin(IMP.algebra.Vector3D(self.originx,
                                             self.originy,
                                             self.originz))
        dmap.set_was_used(True)
        dmap.get_header().show()
        mh_xyz = IMP.core.XYZs(IMP.core.get_leaves(mol2fit))
        ff = IMP.multifit.FFTFitting()
        ff.set_was_used(True)
        #
        do_cluster_fits = True
        max_clustering_translation = 3
        max_clustering_rotation = 5
        num_fits_to_report = 100
        #
        fits = ff.do_local_fitting(dmap, self.threshold, mol2fit,
                                   self.angle / 180.0 * math.pi,
                                   self.max_angle / 180.0 *
                                   math.pi, self.max_trans, num_fits_to_report,
                                   do_cluster_fits, self.angles_per_voxel,
                                   max_clustering_translation, max_clustering_rotation)
        fits.set_was_used(True)
        final_fits = fits.best_fits_
        if self.ref_pdb != '':
            ref_mh = IMP.atom.read_pdb(self.ref_pdb, mdl)
            ref_mh_xyz = IMP.core.XYZs(IMP.core.get_leaves(ref_mh))
            cur_low = [1e4, 0]
        for i, fit in enumerate(final_fits):
            fit.set_index(i)
            if self.ref_pdb != '':
                trans = fit.get_fit_transformation()
                IMP.atom.transform(mol2fit, trans)
                rmsd = IMP.atom.get_rmsd(mh_xyz, ref_mh_xyz)
                if rmsd < cur_low[0]:
                    cur_low[0] = rmsd
                    cur_low[1] = i
                fit.set_rmsd_to_reference(rmsd)
                IMP.atom.transform(mol2fit, trans.get_inverse())
                fit.set_fit_transformation(trans * initial_transformation)
        if self.ref_pdb != '':
            print 'from all fits, lowest rmsd to ref:', cur_low
        IMP.multifit.write_fitting_solutions(self.fits_fn, final_fits)


def do_work(f):
    f.run()


def parse_args():
    usage = """%prog [options] <assembly input> <refined assembly input> <proteomics.input> <mapping.input> <combinations file> <combination index>

Fit subunits locally around a combination solution with FFT."""
    parser = OptionParser(usage)
    parser.add_option("-a", "--angle", dest="angle", type="float",
                      default=5,
                      help="angle delta (degrees) for FFT rotational "
                           "search (default 5)")

    parser.add_option("-n", "--num", dest="num", type="int",
                      default=100,
                      help="Number of fits to report"
                           "(default 100)")

    parser.add_option("-v", "--angle_voxel", dest="angle_voxel", type="int",
                      default=10,
                      help="Number of angles to keep per voxel"
                           "(default 10)")

    parser.add_option("-t", "--max_trans", dest="max_trans", type="float",
                      default=10.,
                      help="maximum translational search in A"
                      "(default 10)")

    parser.add_option("-m", "--max_angle", dest="max_angle", type="float",
                      default=30.,
                      help="maximum angular search in degrees"
                      "(default 50)")

    options, args = parser.parse_args()
    if len(args) != 6:
        parser.error("incorrect number of arguments")
    return options, args


def run(
    asmb_fn,
    asmb_refined_fn,
    proteomics_fn,
    mapping_fn,
    combs_fn,
    comb_ind,
        options):
    # get rmsd for subunits
    mdl1 = IMP.kernel.Model()
    mdl2 = IMP.kernel.Model()
    combs = IMP.multifit.read_paths(combs_fn)
    asmb_input = IMP.multifit.read_settings(asmb_fn)
    asmb_input.set_was_used(True)
    asmb_refined_input = IMP.multifit.read_settings(asmb_refined_fn)
    asmb_refined_input.set_was_used(True)
    prot_data = IMP.multifit.read_proteomics_data(proteomics_fn)
    mapping_data = IMP.multifit.read_protein_anchors_mapping(prot_data,
                                                             mapping_fn)
    ensmb = IMP.multifit.load_ensemble(asmb_input, mdl1, mapping_data)
    ensmb.set_was_used(True)
    mhs = ensmb.get_molecules()

    ensmb_ref = IMP.multifit.load_ensemble(asmb_input, mdl2, mapping_data)
    ensmb_ref.set_was_used(True)
    mhs_ref = ensmb_ref.get_molecules()

    ensmb.load_combination(combs[comb_ind])

    em_map = asmb_input.get_assembly_header().get_dens_fn()
    resolution = asmb_input.get_assembly_header().get_resolution()
    spacing = asmb_input.get_assembly_header().get_spacing()
    origin = asmb_input.get_assembly_header().get_origin()

    rbs_ref = ensmb_ref.get_rigid_bodies()
    rbs = ensmb.get_rigid_bodies()

    for i, mh in enumerate(mhs):
        fits_fn = asmb_refined_input.get_component_header(
            i).get_transformations_fn()

        # todo - get the initial transformation
        rb_ref = rbs_ref[i]
        rb = rbs[i]

        initial_transformation = IMP.algebra.get_transformation_from_first_to_second(
            rb_ref.get_reference_frame(),
            rb.get_reference_frame())

        pdb_fn = asmb_input.get_component_header(i).get_filename()

        f = Fitter(
            em_map, spacing, resolution, origin, asmb_input.get_assembly_header(
            ).get_threshold(
            ), pdb_fn, fits_fn, options.angle, options.num, options.angle_voxel,
            options.max_trans, options.max_angle)
        f.run_local_fitting(mh, rb, initial_transformation)


def main():
    options, args = parse_args()
    asmb_input = args[0]
    asmb_refined_input = args[1]
    proteomics_fn = args[2]
    mapping_fn = args[3]
    combinations_fn = args[4]
    combination_ind = int(args[5])
    run(asmb_input, asmb_refined_input, proteomics_fn,
        mapping_fn, combinations_fn, combination_ind, options)

if __name__ == "__main__":
    main()