药效团
计算机辅助
计算机辅助设计
计算机科学
管道(软件)
药物发现
生物信息学
程序设计语言
生物
操作系统
作者
A. S. Veselovsky,Ivanov As
出处
期刊:Current Drug Targets - Infectious Disorders
[Bentham Science]
日期:2003-03-01
卷期号:3 (1): 33-40
被引量:106
标识
DOI:10.2174/1568005033342145
摘要
Modern strategies of computer-aided drug design (CADD) are reviewed. The task of CADD in the pipeline of drug discovery is accelerating of finding the new lead compounds and their structure optimization for the following pharmacological tests. The main directions in CADD are based on the availability of the experimentally determined three-dimensional structure of the target macromolecule. If spatial structure is known the methods of structure-based drug design are used. In the opposite case the indirect methods of CADD based on the structures of known ligands (ligand-based drug design) are used. The interrelationship between the main directions of CADD is reviewed. The main CADD approaches of molecule de novo design and database mining are described. They include methods of molecular docking, de novo design, design of pharmacophore and quantity structure-activity relationship models. New ways and perspectives of CADD are discussed.
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