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TransformLigand.hpp
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/**
* Copyright (c) 2019, Arjan van der Velde, Weng Lab
* All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions are met:
*
* * Redistributions of source code must retain the above copyright notice, this
* list of conditions and the following disclaimer.
*
* * Redistributions in binary form must reproduce the above copyright notice,
* this list of conditions and the following disclaimer in the documentation
* and/or other materials provided with the distribution.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
* AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
* IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
* DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
* FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
* DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
* SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
* CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
* OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
#pragma once
#include "PDB.hpp"
#include "TransformUtil.hpp"
#include "ZDOCK.hpp"
namespace zdock {
class TransformLigand {
/**
* Performs ZDOCK prediction transformations on PDB structures.
*/
public:
TransformLigand(const std::string &zdock);
TransformLigand(const ZDOCK &zdock);
private:
typedef Eigen::Transform<double, 3, Eigen::Affine> Transform;
typedef Eigen::Matrix<double, 3, Eigen::Dynamic> Matrix;
typedef TransformUtil u;
zdock::Structure receptor_, ligand_; // zdock metadata
ZDOCK zdock_; // zdock output
double spacing_; // grid spacing
int boxsize_; // grid size
bool rev_, fixed_; // fixed / switched flags
bool isvalid_; // successfull init
// precomputed transformation matrices
Transform t0_, t1_, t2_;
// grid to actual translation ('circularized')
inline const Transform boxTranslation(const int (&t)[3],
bool rev = false) const {
Transform ret;
using Eigen::Translation3d;
using Eigen::Vector3d;
Vector3d d = u::boxedGridCoord(t, boxsize_);
if (rev) {
ret = Translation3d(-spacing_ * d);
} else {
ret = Translation3d(spacing_ * d);
}
return ret;
}
public:
// perform actual ligand transformation
inline const Matrix txLigand(const Matrix &matrix,
const Prediction &pred) const {
Transform t;
using Eigen::Translation3d;
using Eigen::Vector3d;
assert(isvalid_); // did we successfully load zdock data?
if (rev_) {
/* Transformation; reverse (receptor was rotated, rather than ligand)
*
* X(rec trans) * X(lig rot, reverse) *
* X(pred rot, reverse) * X(pred trans) *
* X(-lig trans) * X(rec rot) * M
*
*/
t = u::eulerRotation(pred.rotation, true) *
boxTranslation(pred.translation);
return t1_ * t * t0_ * matrix;
} else {
/* Transformation; normal (ligand was rotated)
*
* fixed case:
* X(rec trans) * X(-pred trans) * X(pred rot) *
* X(lig rot) * X(-lig trans) * M
*
* not fixed case:
* X(rec rot, reverse) * [fixed case]
*
*/
t = Translation3d(Vector3d(receptor_.translation)) *
boxTranslation(pred.translation, true) *
u::eulerRotation(pred.rotation) * t2_;
if (!fixed_) {
// !fixed means initial random rotation of receptor
// so we need to rotate to rec frame
t = u::eulerRotation(receptor_.rotation, true) * t;
}
return t * matrix;
}
}
};
} // namespace zdock