Applications of genetic algorithms to drug design

被引：12

作者：

Maddalena, DJ ^{[1
]}

Snowdon, GM ^{[1
]}

机构：

[1] ROYAL N SHORE HOSP,DEPT NUCL MED,ST LEONARDS,NSW 2065,AUSTRALIA

来源：

EXPERT OPINION ON THERAPEUTIC PATENTS | 1997年 / 7卷 / 03期

关键词：

D O I：

10.1517/13543776.7.3.247

中图分类号：

R914 [药物化学];

学科分类号：

100701 ;

摘要：

This review examines the role of genetic and other evolutionary algorithms in the field of drug design. These methods have demonstrated their suitability in a variety of areas, including quantitative structure-activity relationships (QSARs) and variable selection, conformation searching, receptor docking, receptor and pharmacophore elucidation, molecular de novo design and molecular selection with combinatorial libraries. Based upon the studies examined, genetic algorithms and other forms of evolutionary programs are likely to have a useful role in future drug design.

引用

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页码：247 / 254

页数：8

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