A new quantum stochastic tunnelling optimisation method for protein-ligand docking

被引:14
作者
Todorov, NP
Mancera, RL
Monthoux, PH
机构
[1] Nova Pharmaceut Corp, Cambridge CB4 9ZR, England
[2] Univ Cambridge, Cavendish Lab, Dept Phys, Cambridge CB3 0HE, England
关键词
D O I
10.1016/S0009-2614(02)01925-5
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
A novel hybrid optimisation method, called quantum stochastic tunnelling, is introduced. This method combines path integral Monte Carlo and stochastic tunnelling approaches. We have implemented this method within a flexible ligand docking program and found it to be successful in exploring the complex potential energy surfaces of protein-ligand complexes and finding the correct crystallographic ligand binding modes. (C) 2003 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:257 / 263
页数:7
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