Suppr超能文献

前体配体:一种从头开始分子设计的方法。3. 用于结构优化的遗传算法。

PRO-LIGAND: an approach to de novo molecular design. 3. A genetic algorithm for structure refinement.

作者信息

Westhead D R, Clark D E, Frenkel D, Li J, Murray C W, Robson B, Waszkowycz B

机构信息

Proteus Molecular Design Ltd., Macclesfield, Cheshire, U.K.

出版信息

J Comput Aided Mol Des. 1995 Apr;9(2):139-48. doi: 10.1007/BF00124404.

Abstract

Recently, the development of computer programs which permit the de novo design of molecular structures satisfying a set of steric and chemical constraints has become a burgeoning area of research and many operational systems have been reported in the literature. Experience with PRO-LIGAND-the de novo design methodology embodied in our in-house molecular design and simulation system PRO-METHEUS-has suggested that the addition of a genetic algorithm (GA) structure refinement procedure can 'add value' to an already useful tool. Starting with the set of designed molecules as an initial population, the GA can combine features from both high- and low-scoring structures and, over a number of generations, produce individuals of better score than any of the starting structures. This paper describes how we have implemented such a procedure and demonstrates its efficacy in improving two sets of molecules generated by different de novo design projects.

摘要

最近,能够从头设计满足一系列空间和化学限制的分子结构的计算机程序的开发已成为一个新兴的研究领域,并且文献中已报道了许多操作系统。我们内部分子设计与模拟系统PRO-METHEUS中所体现的从头设计方法PRO-LIGAND的经验表明,添加遗传算法(GA)结构优化程序可以为一个已经很有用的工具“增加价值”。从作为初始群体的设计分子集合开始,遗传算法可以结合高分和低分结构的特征,并在几代之后产生比任何起始结构得分更高的个体。本文描述了我们如何实施这样一个程序,并展示了其在改进由不同从头设计项目生成的两组分子方面的功效。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验