Public databases of plant natural products for computational drug discovery

Chun Wei Tung

研究成果: 雜誌貢獻文章同行評審

11 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
頁(從 - 到)191-196
頁數6
期刊Current Computer-Aided Drug Design
10
發行號3
DOIs
出版狀態已發佈 - 1月 1 2014
對外發佈

ASJC Scopus subject areas

  • 分子醫學
  • 藥物發現

指紋

深入研究「Public databases of plant natural products for computational drug discovery」主題。共同形成了獨特的指紋。

引用此