Molecular Modeling of Potential Anticancer Agents from African Medicinal Plants

生物信息学 虚拟筛选 抗癌药 药物发现 计算生物学 药品 对接(动物) 药用植物 药理学 体内 化学 传统医学 生物 生物信息学 生物技术 医学 生物化学 护理部 基因
作者
Fidele Ntie‐Kang,Justina Ngozi Nwodo,Akachukwu Ibezim,Conrad V. Simoben,Berin Karaman,Valery Fuh‐Ngwa,Wolfgang Sippl,Michael U. Adikwu,Luc Meva’a Mbaze
出处
期刊:Journal of Chemical Information and Modeling [American Chemical Society]
卷期号:54 (9): 2433-2450 被引量:83
标识
DOI:10.1021/ci5003697
摘要

Naturally occurring anticancer compounds represent about half of the chemotherapeutic drugs which have been put in the market against cancer until date. Computer-based or in silico virtual screening methods are often used in lead/hit discovery protocols. In this study, the "drug-likeness" of ∼400 compounds from African medicinal plants that have shown in vitro and/or in vivo anticancer, cytotoxic, and antiproliferative activities has been explored. To verify potential binding to anticancer drug targets, the interactions between the compounds and 14 selected targets have been analyzed by in silico modeling. Docking and binding affinity calculations were carried out, in comparison with known anticancer agents comprising ∼1 500 published naturally occurring plant-based compounds from around the world. The results reveal that African medicinal plants could represent a good starting point for the discovery of anticancer drugs. The small data set generated (named AfroCancer) has been made available for research groups working on virtual screening.
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