| [e1a46d] | 1 | #!@PYTHON@
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| 2 | #
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| 3 | # from an original PDB and its DBOND file for a subset PDB (dest) file we create the respective DBOND file, i.e. containing only bonds between atoms
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| 4 | # in the subset
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| 5 |
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| 6 | import sys, random, math, re
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| 7 | wrerr=sys.stderr.write
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| 8 | wrout=sys.stdout.write
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| 9 |
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| 10 | # check arguments
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| 11 | if len(sys.argv) < 5:
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| 12 | print "Usage: "+sys.argv[0]+" <src{PDB/XYZ}file> <destXYZfile> <offsetID> <offsetXYZ> <srcDBONDfile> [destDBONDfile]"
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| 13 | sys.exit(1)
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| 14 |
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| 15 | EPSILON=1e-3
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| 16 | CUTOFF=2.
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| 17 | inputsrc = open(sys.argv[1], "r")
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| 18 | inputdestPDB = open(sys.argv[2], "r")
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| 19 | inputsrcDBOND = open(sys.argv[5], "r")
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| 20 | offsetID=int(sys.argv[3])
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| 21 | offsetXYZ=int(sys.argv[4])
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| 22 | entries = sys.argv[1].split(".")
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| 23 | suffix = entries[-1]
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| 24 | if len(sys.argv) > 6:
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| 25 | output = open(sys.argv[6],"w")
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| 26 | else:
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| 27 | output = open(sys.argv[5]+".new", "w")
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| 28 |
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| 29 | # 1. first parse both PDB files into arrays (id, element, xyz) , therewhile scan BoundaryBoxes
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| 30 | max = [ 0., 0., 0. ]
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| 31 | min = [ 0., 0., 0. ]
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| 32 | x = [ 0., 0., 0. ]
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| 33 | nr=0
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| 34 | srcAtoms = []
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| 35 | #if "xyz" in suffix:
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| 36 | # print "Scanning source XYZ file "+sys.argv[1]+"."
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| 37 | # for line in inputsrc:
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| 38 | # if (len(entries)<4 or (entries[0]!="O" and entries[0]!="Si" and entries[0]!="Ca")):
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| 39 | # continue
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| 40 | # entries = line.split()
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| 41 | # for n in range(3):
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| 42 | # x[n] = float(entries[offsetXYZ+n])
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| 43 | # if x[n] > max[n]:
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| 44 | # max[n] = x[n]
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| 45 | # if x[n] < min[n]:
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| 46 | # min[n] = x[n]
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| 47 | # srcAtoms.append([int(entries[offsetID]), x[0], x[1], x[2]])
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| 48 | # nr+=1
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| 49 | #elif "pdb" in suffix:
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| 50 | print "Scanning source PDB file "+sys.argv[1]+"."
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| 51 | for line in inputsrc:
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| 52 | if "#" in line:
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| 53 | continue
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| 54 | if "END" in line:
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| 55 | break
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| 56 | if "ATOM" in line:
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| 57 | entries = line.split()
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| 58 | for n in range(3):
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| 59 | x[n] = float(entries[offsetXYZ+n])
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| 60 | if x[n] > max[n]:
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| 61 | max[n] = x[n]
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| 62 | if x[n] < min[n]:
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| 63 | min[n] = x[n]
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| 64 | srcAtoms.append([int(entries[offsetID]), x[0], x[1], x[2]])
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| 65 | nr+=1
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| 66 | #else:
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| 67 | # print "Cannot recognize input source file format: $suffix."
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| 68 | # sys.exit(1)
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| 69 |
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| 70 | inputsrc.close()
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| 71 | print "Scanned "+str(nr)+" source atoms."
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| 72 |
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| 73 | print "Scanning destination XYZ file "+sys.argv[2]+"."
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| 74 | destAtoms = []
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| 75 | nr = 0
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| 76 | for line in inputdestPDB:
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| 77 | entries = line.split()
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| 78 | if (len(entries)<4 or (entries[0]!="O" and entries[0]!="Si" and entries[0]!="Ca")):
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| 79 | continue
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| 80 | for n in range(3):
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| 81 | x[n] = float(entries[1+n])
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| 82 | if x[n] > max[n]:
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| 83 | x[n]-=max[n]
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| 84 | if x[n] < min[n]:
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| 85 | x[n]+=max[n]
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| 86 | destAtoms.append([nr, x[0], x[1], x[2]])
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| 87 | nr+=1
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| 88 | inputdestPDB.close()
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| 89 |
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| 90 | #nr=0
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| 91 | #for line in inputdestPDB:
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| 92 | # if "#" in line:
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| 93 | # continue
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| 94 | # if "END" in line:
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| 95 | # break
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| 96 | # if "ATOM" in line:
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| 97 | # entries = line.split()
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| 98 | # for n in range(3):
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| 99 | # x[n] = float(entries[offsetXYZ+n])
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| 100 | # if x[n] > max[n]:
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| 101 | # max[n] = x[n]
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| 102 | # if x[n] < min[n]:
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| 103 | # min[n] = x[n]
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| 104 | # destAtoms.append([int(entries[offsetID]), x[0], x[1], x[2]])
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| 105 | # nr+=1
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| 106 | #inputdestPDB.close()
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| 107 | #
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| 108 | print "Scanned "+str(nr)+" destination atoms."
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| 109 |
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| 110 | # 2. create Linked Cell with minimum distance box length
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| 111 | print "Found Box bounds [%f,%f]x[%f,%f]x[%f,%f]." % (min[0],max[0],min[1],max[1],min[2],max[2])
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| 112 | for i in range(3): # shift by minimum if below zero
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| 113 | if min[i] < 0:
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| 114 | max[i]-=min[i]
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| 115 | else:
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| 116 | min[i]=0
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| 117 | cells_x=int(math.ceil(float(max[0])/CUTOFF))+1
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| 118 | cells_y=int(math.ceil(float(max[1])/CUTOFF))+1
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| 119 | cells_z=int(math.ceil(float(max[2])/CUTOFF))+1
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| 120 | print "Number of cells in each axis direction (%f,%f,%f)." % (cells_x, cells_y, cells_z)
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| 121 |
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| 122 | # 3. put each atom into its cell, lists may contain multiple atoms, mark src(0) or dest (1)
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| 123 | cell=[]
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| 124 | for i in range(cells_x):
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| 125 | cell.append([])
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| 126 | for j in range(cells_y):
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| 127 | cell[i].append([])
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| 128 | for k in range(cells_z):
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| 129 | cell[i][j].append([0])
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| 130 | for i in range(len(srcAtoms)):
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| 131 | atom = srcAtoms[i]
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| 132 | for n in range(3):
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| 133 | x[n] = int(math.floor(float(atom[1+n])/CUTOFF))
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| 134 | try:
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| 135 | cell[x[0]][x[1]][x[2]][0]+=1
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| 136 | cell[x[0]][x[1]][x[2]].append([0,i]) # 0 means src
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| 137 | except IndexError:
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| 138 | print "!IndexError with indices "+str(x[0])+" "+str(x[1])+" "+str(x[2])+" on source atom "+str(atom)+"."
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| 139 | #print "Source atom "+str(i)+" goes to cell "+str(x[0])+","+str(x[1])+","+str(x[2])+"."
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| 140 | for i in range(len(destAtoms)):
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| 141 | atom = destAtoms[i]
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| 142 | for n in range(3):
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| 143 | x[n] = int(math.floor(float(atom[1+n])/CUTOFF))
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| 144 | try:
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| 145 | cell[x[0]][x[1]][x[2]][0]+=1
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| 146 | cell[x[0]][x[1]][x[2]].append([1,i]) # 1 means dest
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| 147 | except IndexError:
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| 148 | print "!IndexError with indices "+str(x[0])+" "+str(x[1])+" "+str(x[2])+" on destination atom "+str(atom)+"."
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| 149 | #print "Destination atom "+str(i)+" goes to cell "+str(x[0])+","+str(x[1])+","+str(x[2])+"."
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| 150 |
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| 151 | # 4. go through each cell and match (src, dest)-pairs by closest distance, warn if greater than EPSILON
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| 152 | srcMatches=0
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| 153 | destMatches=0
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| 154 | Map = {}
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| 155 | i=-1
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| 156 | j=-1
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| 157 | k=-1
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| 158 | l=-1
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| 159 | e=-1
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| 160 | r=-1
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| 161 | t=-1
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| 162 | m=-1
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| 163 | for i in range(cells_x):
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| 164 | for j in range(cells_y):
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| 165 | for k in range(cells_z):
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| 166 |
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| 167 | #go through every atom in cell
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| 168 | try:
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| 169 | for l in range(1, cell[i][j][k][0]+1):
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| 170 | if cell[i][j][k][l][0] != 0: # skip if it's not a src atom
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| 171 | continue
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| 172 | atom1=cell[i][j][k][l][1]
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| 173 | #print "Current source atom is "+str(srcAtoms[atom1][0])+"."
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| 174 | currentPair=[atom1,-1]
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| 175 | oldDist=0.
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| 176 | # go through cell and all lower neighbours
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| 177 | for e in range(i-1,i+2):
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| 178 | #if on boarder continue periodic
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| 179 | #if e>cells_x-1:
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| 180 | # e=e-cells_x
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| 181 | if (e < 0) or (e >= cells_x):
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| 182 | continue
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| 183 | for r in range(j-1,j+2):
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| 184 | #if on boarder continue periodic
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| 185 | #if r>cells_y-1:
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| 186 | # r=r-cells_y
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| 187 | if (r < 0) or (r >= cells_y):
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| 188 | continue
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| 189 | for t in range(k-1,k+2):
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| 190 | #if on boarder continue periodic
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| 191 | #if t>cells_z-1:
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| 192 | # t=t-cells_z
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| 193 | if (t < 0) or (t >= cells_z):
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| 194 | continue
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| 195 | #go through all atoms in cell
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| 196 | for m in range(1, cell[e][r][t][0]+1):
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| 197 | if cell[e][r][t][m][0] != 1: # skip if it's not a dest atom
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| 198 | continue
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| 199 | atom2=cell[e][r][t][m][1]
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| 200 | #print "Current destination atom is "+str(destAtoms[atom2][0])+"."
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| 201 | dist=0
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| 202 | tmp=0
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| 203 | for n in range(3):
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| 204 | tmp = srcAtoms[atom1][1+n] - destAtoms[atom2][1+n]
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| 205 | dist += tmp*tmp
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| 206 | #print "Squared distance between the two is "+str(dist)+"."
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| 207 | if ((oldDist > dist) or ((currentPair[1] == -1) and (dist<EPSILON))):
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| 208 | currentPair[1] = atom2
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| 209 | oldDist = dist
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| 210 | if currentPair[1] == -1:
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| 211 | #wrerr("Could not find a suitable partner for srcAtom (%d,%d)!\n" % (srcAtoms[currentPair[0]][0],currentPair[1]))
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| 212 | Map[ srcAtoms[currentPair[0]][0] ] = currentPair[1]
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| 213 | else:
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| 214 | #print "Found a suitable partner for srcAtom "+str(srcAtoms[currentPair[0]][0])+","+str(destAtoms[currentPair[1]][0])+"."
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| 215 | srcMatches+=1
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| 216 | destMatches+=1
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| 217 | Map[ srcAtoms[currentPair[0]][0] ] = destAtoms[currentPair[1]][0]
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| 218 | except IndexError:
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| 219 | wrerr("Index Error: (%d,%d,%d)[%d] and (%d,%d,%d)[%d]\n" % (i,j,k,l,e,r,t,m))
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| 220 | break
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| 221 |
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| 222 | # 5. print the listing
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| 223 | print "We have "+str(srcMatches)+" matching atoms."
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| 224 | print "Mapping is:"
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| 225 | for key in Map:
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| 226 | if Map[key] != -1:
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| 227 | print str(key)+" -> "+str(Map[key])
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| 228 | #print Map # work also
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| 229 |
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| 230 | # 6. use the listing to rewrite the dbond file, store under given filename
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| 231 | line=inputsrcDBOND.readline()
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| 232 | output.write(line)
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| 233 | for line in inputsrcDBOND:
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| 234 | if "#" in line:
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| 235 | continue
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| 236 | entries=line.split()
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| 237 | flag=0
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| 238 | for n in range(len(entries)):
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| 239 | try:
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| 240 | if Map[ int(entries[n]) ] == -1:
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| 241 | flag=1
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| 242 | except KeyError:
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| 243 | print "entries["+str(n)+"] = "+str(int(entries[n]))+" does not exist in Map."
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| 244 | flag=1
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| 245 | if flag==1:
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| 246 | continue
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| 247 | for n in range(len(entries)): # only difference to ReduceDBondFile.py is not to change the ids
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| 248 | output.write("%d\t" % (int(entries[n])))
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| 249 | output.write("\n")
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| 250 | output.close()
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| 251 |
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| 252 | # exit
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