化学信息学
化学数据库
药物发现
数据库
化学空间
数据科学
注释
虚拟筛选
计算机科学
生物信息学
生物
人工智能
作者
Pramodkumar P. Gupta,Virupaksha Bastikar,Santosh S. Chhajed
出处
期刊:Advances in medical technologies and clinical practice book series
日期:2019-01-01
卷期号:: 47-61
被引量:3
标识
DOI:10.4018/978-1-5225-7326-5.ch002
摘要
Biologically active and approved molecules have attracted great interest from scientists working in the therapeutic area. This has greatly increased the pressure on the pharma and life science industry in fueling new molecules to the market. Chemical structure database, the backbone of cheminformatics and the bioinformatics industry, has warehoused millions of active and non-active molecules/ligands/derivatives of drug compounds. Numerous public and private chemical databases support the drug discovery projects by contributing their data source in terms of 2D, 3D structure, and annotation reports in development of effective therapeutic projects. In this chapter, the authors discuss important chemical structure databases and their diverse dataset utilization in drug discovery projects.
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