optimize a number of functions
- Major optimization of the put_atom_in_box() function. - Major optimization of the protein_precheck() function. - Minor optimization in radial_volume_desolvation() - Optimization in top_up() to scale for large structures.
This commit is contained in:
committed by
Mike Beachy
parent
e0ed5da44b
commit
73c7a2a4be
@@ -7,7 +7,7 @@ import unittest
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# Setting this up as a direct translation of the original runtest.py script
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# that will be run as part of 'python setup.py test'. This takes on the
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# order of 30s to run.
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# order of 10s to run.
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class SystemTest(unittest.TestCase):
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"""
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@@ -370,7 +370,7 @@ class bondmaker:
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for x in range(self.no_box_x):
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for y in range(self.no_box_y):
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for z in range(self.no_box_z):
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self.boxes[self.box_key(x,y,z)] = []
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self.boxes[(x,y,z)] = []
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# put atoms into boxes
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for atom in atoms:
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@@ -380,10 +380,8 @@ class bondmaker:
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self.put_atom_in_box(x,y,z,atom)
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# assign bonds
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keys = self.boxes.keys()
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for key in keys:
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self.find_bonds_for_atoms(self.boxes[key])
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for key, value in self.boxes.items():
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self.find_bonds_for_atoms(value)
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return
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@@ -391,21 +389,21 @@ class bondmaker:
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def put_atom_in_box(self,x,y,z,atom):
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# atom in the x,y,z box and the up to 7 neighboring boxes on
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# one side of the x,y,z box in each dimension
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for bx in [x,x+1]:
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for by in [y,y+1]:
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for bz in [z,z+1]:
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key = self.box_key(bx,by,bz)
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if key in self.boxes.keys():
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key = (bx,by,bz)
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try:
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self.boxes[key].append(atom)
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except KeyError:
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# No box exists for this coordinate
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pass
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#print(atom,'->',key,':',len(self.boxes[key]))
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return
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def box_key(self, x, y, z):
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return '%d-%d-%d'%(x,y,z)
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def has_bond(self, atom1, atom2):
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if atom1 in atom2.bonded_atoms or atom2 in atom1.bonded_atoms:
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return True
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@@ -364,12 +364,11 @@ def radial_volume_desolvation(parameters, group):
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# desolvation
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if sq_dist < parameters.desolv_cutoff_squared:
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# use a default relative volume of 1.0 if the volume of the element is not found in parameters
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dv = 1.0
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if atom.element in parameters.VanDerWaalsVolume.keys():
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dv = parameters.VanDerWaalsVolume[atom.element]
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# insert check for methyl groups
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if atom.element == 'C' and atom.name not in ['CA','C']:
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dv = parameters.VanDerWaalsVolume['C4']
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else:
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dv = parameters.VanDerWaalsVolume.get(atom.element, 1.0)
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dv_inc = dv/max(min_distance_4th, sq_dist*sq_dist)
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# dv_inc = dv/(sq_dist*sq_dist) - dv/(parameters.desolv_cutoff_squared*parameters.desolv_cutoff_squared)
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@@ -390,19 +390,12 @@ class Conformation_container:
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def top_up(self, other):
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""" Tops up self with all atoms found in other but not in self """
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my_residue_labels = { a.residue_label for a in self.atoms }
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for atom in other.atoms:
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if not self.have_atom(atom):
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if not atom.residue_label in my_residue_labels:
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self.copy_atom(atom)
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return
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def have_atom(self, atom):
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res = False
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for a in self.atoms:
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if a.residue_label == atom.residue_label:
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res = True
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break
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return res
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def find_group(self, group):
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for g in self.groups:
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if g.atom.residue_label == group.atom.residue_label:
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@@ -50,11 +50,17 @@ def protein_precheck(conformations, names):
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for name in names:
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atoms = conformations[name].atoms
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res_ids = []
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[res_ids.append(resid_from_atom(a)) for a in atoms if not res_ids.count(resid_from_atom(a))]
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# Group the atoms by their residue:
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atoms_by_residue = {}
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for a in atoms:
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if a.element != 'H':
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res_id = resid_from_atom(a)
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try:
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atoms_by_residue[res_id].append(a)
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except KeyError:
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atoms_by_residue[res_id] = [a]
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for res_id in res_ids:
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res_atoms = [a for a in atoms if resid_from_atom(a) == res_id and a.element != 'H']
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for res_id, res_atoms in atoms_by_residue.items():
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resname = res_atoms[0].resName
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residue_label = '%3s%5s'%(resname, res_id)
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