虚拟筛选
药物发现
计算机科学
多学科方法
药物开发
过程(计算)
药品
数据科学
风险分析(工程)
计算生物学
生物信息学
生化工程
医学
药理学
生物
工程类
操作系统
社会学
社会科学
作者
Prachi Srivastava,Anshul Tiwari
标识
DOI:10.2174/1568026617666170403113541
摘要
The last couple of decades has witnessed that an amalgamation of multidisciplinary branches of science come together in the form of 'Bioinformatics' and made a substantial impact on the drug designing process. The applicability of Bioinformatics approaches has been able to lower down the overall cost and time of drug discovery and development. The Computer Aided Drug Designing System (CADDS) using extensive applicability of Bioinformatics has been recognized as one step ahead to carry out the primary high throughput virtual screening as an economically viable solution to the problem. The present article discusses the applicability of various Bioinformatics tools for virtual screening and molecular dynamics of selected molecules/ active ingredients derived from herbs, semi-synthetic and synthetic compounds, to predict their possible therapeutic interventions in diabetes induced neuropathy and neurodegenerative disorders. The article ends by summarizing the application of the virtual screening, lead optimization and predictions of bioavailability and bioactivity in the experimental drug development research. Keywords: Drug discovery, CADD, Homology modeling, molecular interaction, simulations, neurological disorders.
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