Public databases of plant natural products for computational drug discovery

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)191-196
Number of pages6
JournalCurrent Computer-Aided Drug Design
Volume10
Issue number3
Publication statusPublished - Jan 1 2014
Externally publishedYes

Fingerprint

Drug Discovery
Biological Products
Databases
Quantitative Structure-Activity Relationship
Ligands
Research
Proteins

Keywords

  • Database
  • Medicinal plant
  • Natural product
  • Phytochemical
  • Quantitative structure-activity relationship
  • Traditional medicine

ASJC Scopus subject areas

  • Molecular Medicine
  • Drug Discovery

Cite this

Public databases of plant natural products for computational drug discovery. / Tung, Chun Wei.

In: Current Computer-Aided Drug Design, Vol. 10, No. 3, 01.01.2014, p. 191-196.

Research output: Contribution to journalArticle

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