1 // ******************************************************************************
2 //
3 // Title: Force Field X.
4 // Description: Force Field X - Software for Molecular Biophysics.
5 // Copyright: Copyright (c) Michael J. Schnieders 2001-2025.
6 //
7 // This file is part of Force Field X.
8 //
9 // Force Field X is free software; you can redistribute it and/or modify it
10 // under the terms of the GNU General Public License version 3 as published by
11 // the Free Software Foundation.
12 //
13 // Force Field X is distributed in the hope that it will be useful, but WITHOUT
14 // ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
15 // FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
16 // details.
17 //
18 // You should have received a copy of the GNU General Public License along with
19 // Force Field X; if not, write to the Free Software Foundation, Inc., 59 Temple
20 // Place, Suite 330, Boston, MA 02111-1307 USA
21 //
22 // Linking this library statically or dynamically with other modules is making a
23 // combined work based on this library. Thus, the terms and conditions of the
24 // GNU General Public License cover the whole combination.
25 //
26 // As a special exception, the copyright holders of this library give you
27 // permission to link this library with independent modules to produce an
28 // executable, regardless of the license terms of these independent modules, and
29 // to copy and distribute the resulting executable under terms of your choice,
30 // provided that you also meet, for each linked independent module, the terms
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32 // module which is not derived from or based on this library. If you modify this
33 // library, you may extend this exception to your version of the library, but
34 // you are not obligated to do so. If you do not wish to do so, delete this
35 // exception statement from your version.
36 //
37 // ******************************************************************************
38 package ffx.algorithms.optimize.manybody;
39
40 import ffx.algorithms.mc.MCMove;
41 import ffx.algorithms.optimize.RotamerOptimization;
42 import ffx.potential.bonded.Residue;
43
44 import java.util.ArrayList;
45 import java.util.List;
46 import java.util.Random;
47
48 /** This implements single-rotamer changes in the framework of the rotamer energy matrices. */
49 public class RotamerMatrixMove implements MCMove {
50
51 private final boolean useAllElims;
52 /**
53 * CurrentRots should point to the same array as being used in the overlying MetropolisMC
54 * implementation.
55 */
56 private final int[] currentRots;
57
58 private final List<Integer> allowedRes;
59 private final List<List<Integer>> allowedRots;
60 private final int nAllowed;
61 private final RotamerOptimization rotamerOptimization;
62 private final boolean monteCarloTesting;
63 /** When we take a step, we need to remember which rotamer of which residue was changed. */
64 private int changedRes;
65
66 private int changedRot;
67
68 /**
69 * Constructs the RotamerMatrixMove set; at present, a new object must be made if rotamers or
70 * residues are changed outside the scope of this class.
71 *
72 * @param useAllElims Use eliminated pair/triple info.
73 * @param rotamers Initial rotamer set.
74 * @param residues Array of residues.
75 * @param rotamerOptimization RotamerOptimization instance.
76 * @param eliminatedRotamers Eliminated rotamers instance.
77 * @param monteCarloTesting True for MC testing.
78 */
79 public RotamerMatrixMove(boolean useAllElims, int[] rotamers, Residue[] residues,
80 RotamerOptimization rotamerOptimization, EliminatedRotamers eliminatedRotamers,
81 boolean monteCarloTesting) {
82 this.useAllElims = useAllElims;
83 this.rotamerOptimization = rotamerOptimization;
84 this.monteCarloTesting = monteCarloTesting;
85
86 int nRes = rotamers.length;
87 currentRots = rotamers;
88
89 allowedRes = new ArrayList<>(nRes);
90 allowedRots = new ArrayList<>(nRes);
91
92 for (int i = 0; i < nRes; i++) {
93 ArrayList<Integer> resAllowed = new ArrayList<>();
94
95 int lenRi = residues[i].getRotamers().length;
96 for (int ri = 0; ri < lenRi; ri++) {
97 if (!eliminatedRotamers.check(i, ri)) {
98 resAllowed.add(ri);
99 }
100 }
101
102 if (resAllowed.size() > 1) {
103 resAllowed.trimToSize();
104 allowedRes.add(i);
105 allowedRots.add(resAllowed);
106 }
107 }
108
109 ((ArrayList<Integer>) allowedRes).trimToSize();
110 nAllowed = allowedRes.size();
111 }
112
113 @Override
114 public void move() {
115 boolean validMove = !useAllElims;
116 int indexI;
117 int indexRI;
118 do {
119 // resI and rotI correspond to their positions in allowedRes and
120 // allowedRots. indexI and indexRI correspond to their numbers
121 // in the rotamer matrix.
122
123 Random rand = new Random();
124 if (monteCarloTesting) {
125 rand.setSeed(nAllowed);
126 }
127 int resI = rand.nextInt(nAllowed);
128 indexI = allowedRes.get(resI);
129 List<Integer> allowedRotsI = allowedRots.get(resI);
130 int lenRi = allowedRotsI.size();
131 int rotI = rand.nextInt(lenRi);
132 indexRI = allowedRotsI.get(rotI);
133 if (useAllElims) {
134 validMove = rotamerOptimization.checkValidMove(indexI, indexRI, currentRots);
135 }
136 } while (!validMove);
137
138 changedRes = indexI;
139 changedRot = currentRots[indexI];
140
141 currentRots[indexI] = indexRI;
142 }
143
144 @Override
145 public void revertMove() {
146 currentRots[changedRes] = changedRot;
147 }
148
149 @Override
150 public String toString() {
151 return "Rotamer moves utilizing a rotamer energy matrix";
152 }
153 }