<filename>example.py
""" 
Sample code to use the routine for fast RMSD & rotational matrix calculation.
For the example provided below, the minimum least-squares RMSD for the two
7-atom fragments should be 0.719106 A.

    And the corresponding 3x3 rotation matrix is:

    [[ 0.72216358 -0.52038257 -0.45572112]
     [ 0.69118937  0.51700833  0.50493528]
     [-0.0271479  -0.67963547  0.73304748]]
    

"""

import numpy
import pyqcprot as qcp

# Setup coordinates

frag_a = numpy.zeros((3,7),dtype=numpy.float64)
frag_b = numpy.zeros((3,7),dtype=numpy.float64)
N = 7

frag_a[0][0] =  -2.803
frag_a[1][0] = -15.373
frag_a[2][0] =  24.556
frag_a[0][1] =   0.893
frag_a[1][1] = -16.062
frag_a[2][1] =  25.147
frag_a[0][2] =   1.368
frag_a[1][2] = -12.371
frag_a[2][2] =  25.885
frag_a[0][3] =  -1.651
frag_a[1][3] = -12.153
frag_a[2][3] =  28.177
frag_a[0][4] =  -0.440
frag_a[1][4] = -15.218
frag_a[2][4] =  30.068
frag_a[0][5] =   2.551
frag_a[1][5] = -13.273
frag_a[2][5] =  31.372
frag_a[0][6] =   0.105
frag_a[1][6] = -11.330
frag_a[2][6] =  33.567

frag_b[0][0] = -14.739
frag_b[1][0] = -18.673
frag_b[2][0] =  15.040
frag_b[0][1] = -12.473
frag_b[1][1] = -15.810
frag_b[2][1] =  16.074
frag_b[0][2] = -14.802
frag_b[1][2] = -13.307
frag_b[2][2] =  14.408
frag_b[0][3] = -17.782
frag_b[1][3] = -14.852
frag_b[2][3] =  16.171
frag_b[0][4] = -16.124
frag_b[1][4] = -14.617
frag_b[2][4] =  19.584
frag_b[0][5] = -15.029
frag_b[1][5] = -11.037
frag_b[2][5] =  18.902
frag_b[0][6] = -18.577
frag_b[1][6] = -10.001
frag_b[2][6] =  17.996

# Allocate rotation array
rot = numpy.zeros((9,),dtype=numpy.float64) 

# Calculate center of geometry
comA = numpy.sum(frag_a,axis=1)/N
comB = numpy.sum(frag_b,axis=1)/N 

# Center each fragment
frag_a = frag_a - comA.reshape(3,1)
frag_b = frag_b - comB.reshape(3,1)

# Calculate rmsd and rotation matrix
rmsd = qcp.CalcRMSDRotationalMatrix(frag_a,frag_b,N,rot,None)

print 'qcp rmsd = ',rmsd
print 'rotation matrix:'
print rot.reshape((3,3))

# Calculate rmsd after applying rotation
def rmsd(a,b):
    """Returns RMSD between two coordinate sets a and b."""
    return numpy.sqrt(numpy.sum(numpy.power(a-b,2))/a.shape[1])
    
# rotate frag_b to obtain optimal alignment
frag_br = frag_b.T*numpy.matrix(rot.reshape((3,3)))    
rmsd = rmsd(frag_br.T,frag_a)
print 'rmsd after applying rotation: ',rmsd





<filename>example.py
""" 
Sample code to use the routine for fast RMSD & rotational matrix calculation.
For the example provided below, the minimum least-squares RMSD for the two
7-atom fragments should be 0.719106 A.

    And the corresponding 3x3 rotation matrix is:

    [[ 0.72216358 -0.52038257 -0.45572112]
     [ 0.69118937  0.51700833  0.50493528]
     [-0.0271479  -0.67963547  0.73304748]]
    

"""

import numpy
import pyqcprot as qcp

# Setup coordinates

frag_a = numpy.zeros((3,7),dtype=numpy.float64)
frag_b = numpy.zeros((3,7),dtype=numpy.float64)
N = 7

frag_a[0][0] =  -2.803
frag_a[1][0] = -15.373
frag_a[2][0] =  24.556
frag_a[0][1] =   0.893
frag_a[1][1] = -16.062
frag_a[2][1] =  25.147
frag_a[0][2] =   1.368
frag_a[1][2] = -12.371
frag_a[2][2] =  25.885
frag_a[0][3] =  -1.651
frag_a[1][3] = -12.153
frag_a[2][3] =  28.177
frag_a[0][4] =  -0.440
frag_a[1][4] = -15.218
frag_a[2][4] =  30.068
frag_a[0][5] =   2.551
frag_a[1][5] = -13.273
frag_a[2][5] =  31.372
frag_a[0][6] =   0.105
frag_a[1][6] = -11.330
frag_a[2][6] =  33.567

frag_b[0][0] = -14.739
frag_b[1][0] = -18.673
frag_b[2][0] =  15.040
frag_b[0][1] = -12.473
frag_b[1][1] = -15.810
frag_b[2][1] =  16.074
frag_b[0][2] = -14.802
frag_b[1][2] = -13.307
frag_b[2][2] =  14.408
frag_b[0][3] = -17.782
frag_b[1][3] = -14.852
frag_b[2][3] =  16.171
frag_b[0][4] = -16.124
frag_b[1][4] = -14.617
frag_b[2][4] =  19.584
frag_b[0][5] = -15.029
frag_b[1][5] = -11.037
frag_b[2][5] =  18.902
frag_b[0][6] = -18.577
frag_b[1][6] = -10.001
frag_b[2][6] =  17.996

# Allocate rotation array
rot = numpy.zeros((9,),dtype=numpy.float64) 

# Calculate center of geometry
comA = numpy.sum(frag_a,axis=1)/N
comB = numpy.sum(frag_b,axis=1)/N 

# Center each fragment
frag_a = frag_a - comA.reshape(3,1)
frag_b = frag_b - comB.reshape(3,1)

# Calculate rmsd and rotation matrix
rmsd = qcp.CalcRMSDRotationalMatrix(frag_a,frag_b,N,rot,None)

print 'qcp rmsd = ',rmsd
print 'rotation matrix:'
print rot.reshape((3,3))

# Calculate rmsd after applying rotation
def rmsd(a,b):
    """Returns RMSD between two coordinate sets a and b."""
    return numpy.sqrt(numpy.sum(numpy.power(a-b,2))/a.shape[1])
    
# rotate frag_b to obtain optimal alignment
frag_br = frag_b.T*numpy.matrix(rot.reshape((3,3)))    
rmsd = rmsd(frag_br.T,frag_a)
print 'rmsd after applying rotation: ',rmsd





Sample code to use the routine for fast RMSD & rotational matrix calculation. For the example provided below, the minimum least-squares RMSD for the two 7-atom fragments should be 0.719106 A.      And the corresponding 3x3 rotation matrix is:      [[ 0.72216358 -0.52038257 -0.45572112]      [ 0.69118937  0.51700833  0.50493528]      [-0.0271479  -0.67963547  0.73304748]] # Setup coordinates # Allocate rotation array # Calculate center of geometry # Center each fragment # Calculate rmsd and rotation matrix # Calculate rmsd after applying rotation Returns RMSD between two coordinate sets a and b. # rotate frag_b to obtain optimal alignment