Class SuperPositionQCP
- java.lang.Object
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- org.biojava.nbio.structure.geometry.SuperPositionAbstract
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- org.biojava.nbio.structure.geometry.SuperPositionQCP
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- All Implemented Interfaces:
SuperPosition
public final class SuperPositionQCP extends SuperPositionAbstract
Implementation of the Quaternion-Based Characteristic Polynomial algorithm for RMSD and Superposition calculations.Usage:
The input consists of 2 Point3d arrays of equal length. The input coordinates are not changed.
Point3d[] x = ... Point3d[] y = ... SuperPositionQCP qcp = new SuperPositionQCP(); qcp.set(x, y);
or with weighting factors [0 - 1]]
double[] weights = ... qcp.set(x, y, weights);
For maximum efficiency, create a SuperPositionQCP object once and reuse it.
A. Calculate rmsd only
double rmsd = qcp.getRmsd();
B. Calculate a 4x4 transformation (rotation and translation) matrix
Matrix4d rottrans = qcp.getTransformationMatrix();
C. Get transformated points (y superposed onto the reference x)
Point3d[] ySuperposed = qcp.getTransformedCoordinates();
Citations:
Liu P, Agrafiotis DK, & Theobald DL (2011) Reply to comment on: "Fast determination of the optimal rotation matrix for macromolecular superpositions." Journal of Computational Chemistry 32(1):185-186. [http://dx.doi.org/10.1002/jcc.21606]
Liu P, Agrafiotis DK, & Theobald DL (2010) "Fast determination of the optimal rotation matrix for macromolecular superpositions." Journal of Computational Chemistry 31(7):1561-1563. [http://dx.doi.org/10.1002/jcc.21439]
Douglas L Theobald (2005) "Rapid calculation of RMSDs using a quaternion-based characteristic polynomial." Acta Crystallogr A 61(4):478-480. [http://dx.doi.org/10.1107/S0108767305015266 ]
This is an adoption of the original C code QCProt 1.4 (2012, October 10) to Java. The original C source code is available from http://theobald.brandeis.edu/qcp/ and was developed by
Douglas L. Theobald Department of Biochemistry MS 009 Brandeis University 415 South St Waltham, MA 02453 USA
dtheobald@brandeis.edu
Pu Liu Johnson & Johnson Pharmaceutical Research and Development, L.L.C. 665 Stockton Drive Exton, PA 19341 USA
pliu24@its.jnj.com
- Author:
- Douglas L. Theobald (original C code), Pu Liu (original C code), Peter Rose (adopted to Java), Aleix Lafita (adopted to Java)
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Constructor Summary
Constructors Constructor Description SuperPositionQCP(boolean centered)
Default constructor for the quaternion based superposition algorithm.SuperPositionQCP(boolean centered, double evec_prec, double eval_prec)
Constructor with option to set the precision values.
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description double
getRmsd(javax.vecmath.Point3d[] fixed, javax.vecmath.Point3d[] moved)
Calculate the RMSD between two arrays of equivalent points that are not superposed.double
getWeightedRmsd(javax.vecmath.Point3d[] fixed, javax.vecmath.Point3d[] moved, double[] weight)
javax.vecmath.Matrix4d
superpose(javax.vecmath.Point3d[] fixed, javax.vecmath.Point3d[] moved)
Obtain the superposition matrix that minimizes the RMSD between two arrays of equivalent points.javax.vecmath.Matrix4d
superposeAfterRmsd()
The QCP method can be used as a two-step calculation: first compute the RMSD (fast) and then compute the superposition.javax.vecmath.Matrix4d
weightedSuperpose(javax.vecmath.Point3d[] fixed, javax.vecmath.Point3d[] moved, double[] weight)
Weighted superposition.-
Methods inherited from class org.biojava.nbio.structure.geometry.SuperPositionAbstract
checkInput, setCentered, superposeAndTransform
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Constructor Detail
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SuperPositionQCP
public SuperPositionQCP(boolean centered)
Default constructor for the quaternion based superposition algorithm.- Parameters:
centered
- true if the point arrays are centered at the origin (faster), false otherwise
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SuperPositionQCP
public SuperPositionQCP(boolean centered, double evec_prec, double eval_prec)
Constructor with option to set the precision values.- Parameters:
centered
- true if the point arrays are centered at the origin (faster), false otherwiseevec_prec
- required eigenvector precisioneval_prec
- required eigenvalue precision
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Method Detail
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weightedSuperpose
public javax.vecmath.Matrix4d weightedSuperpose(javax.vecmath.Point3d[] fixed, javax.vecmath.Point3d[] moved, double[] weight)
Weighted superposition.- Parameters:
fixed
-moved
-weight
- array of weigths for each equivalent point position- Returns:
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getRmsd
public double getRmsd(javax.vecmath.Point3d[] fixed, javax.vecmath.Point3d[] moved)
Description copied from interface:SuperPosition
Calculate the RMSD between two arrays of equivalent points that are not superposed.This is equivalent to first superposing the point arrays with
SuperPosition.superposeAndTransform(Point3d[], Point3d[])
and then calculating the RMSD of the superposed point arrays withCalcPoint.rmsd(Point3d[], Point3d[])
, but it will be faster when the transformation matrix is not needed.The two point arrays have to be of the same length and the order of points have to be the same, so that a specific position in the one array is equivalent to the same position in the other array.
- Parameters:
fixed
- an array of points. Original coordinates will not be modified.moved
- an array of points. Original coordinates will not be modified.- Returns:
- the minimum RMSD between the equivalent point arrays (after superposition)
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superpose
public javax.vecmath.Matrix4d superpose(javax.vecmath.Point3d[] fixed, javax.vecmath.Point3d[] moved)
Description copied from interface:SuperPosition
Obtain the superposition matrix that minimizes the RMSD between two arrays of equivalent points.The two point arrays have to be of the same length and the order of points have to be the same, so that a specific position in the one array is equivalent to the same position in the other array.
- Parameters:
fixed
- point array as reference, onto which the other point array is superposed. Original coordinates will not be modified.moved
- point array to which the resulting transformation matrix is applied. Original coordinates will not be modified.- Returns:
- transformation matrix as a Matrix4d to superpose moved onto fixed point arrays
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getWeightedRmsd
public double getWeightedRmsd(javax.vecmath.Point3d[] fixed, javax.vecmath.Point3d[] moved, double[] weight)
- Parameters:
fixed
-moved
-weight
- array of weigths for each equivalent point position- Returns:
- weighted RMSD.
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superposeAfterRmsd
public javax.vecmath.Matrix4d superposeAfterRmsd()
The QCP method can be used as a two-step calculation: first compute the RMSD (fast) and then compute the superposition. This method assumes that the RMSD of two arrays of points has been already calculated usinggetRmsd(Point3d[], Point3d[])
method and calculates the transformation of the same two point arrays.- Parameters:
fixed
-moved
-- Returns:
- transformation matrix as a Matrix4d to superpose moved onto fixed point arrays
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