Barakat M T, Dean P M
Department of Pharmacology, University of Cambridge, U.K.
J Comput Aided Mol Des. 1991 Apr;5(2):107-17. doi: 10.1007/BF00129750.
This paper extends an application of the method of simulated annealing for molecular matching so that the best common subsets of atom positions can be identified. Null correspondences are introduced into the difference distance matrix to enable poorly matched positions to be ignored in minimizing the objective function. The efficiency of the algorithm in finding correct subsets is rigorously tested.
本文扩展了模拟退火方法在分子匹配中的应用,以便能够识别出原子位置的最佳公共子集。将零对应引入差异距离矩阵,使得在最小化目标函数时可以忽略匹配不佳的位置。该算法在寻找正确子集方面的效率得到了严格测试。