Tung Chun-Wei
School of Pharmacy, College of Pharmacy, Kaohsiung Medical University, 100 Shih-Chuan 1st road, Kaohsiung, 80708, Taiwan.
Curr Comput Aided Drug Des. 2014;10(3):191-6. doi: 10.2174/1573409910666140414145934.
Plant natural products have been intensively investigated during the past decades with a considerable amount of generated data. Databases are subsequently developed to facilitate the management and analysis of accumulated information including plant species, chemical compounds, structures and bioactivities. With the support of databases, the screening of novel bioactivities for plant natural products can benefit from advanced computational methods to accelerate the progress of drug discovery. This overview describes the contents of publicly available databases useful for computational research of plant natural products. Based on the databases, quantitative structure-activity relationship models and protein-ligand docking methods can be developed and applied to analyze and screen bioactive compounds. More public and structured databases with unique contents, search functions and links to major databases are needed for efficiently exploring the chemical space of plant natural products.
在过去几十年里,人们对植物天然产物进行了深入研究,产生了大量数据。随后开发了数据库,以方便对积累的信息进行管理和分析,这些信息包括植物物种、化合物、结构和生物活性。在数据库的支持下,植物天然产物新型生物活性的筛选可以受益于先进的计算方法,以加速药物发现的进程。本综述描述了可用于植物天然产物计算研究的公开数据库的内容。基于这些数据库,可以开发定量构效关系模型和蛋白质-配体对接方法,并应用于分析和筛选生物活性化合物。为了有效地探索植物天然产物的化学空间,需要更多具有独特内容、搜索功能并与主要数据库链接的公共结构化数据库。