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Review of natural product databases
Author(s) -
Xie Tao,
Song Sicheng,
Li Sijia,
Ouyang Liang,
Xia Lin,
Huang Jian
Publication year - 2015
Publication title -
cell proliferation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.647
H-Index - 74
eISSN - 1365-2184
pISSN - 0960-7722
DOI - 10.1111/cpr.12190
Subject(s) - natural product , drug discovery , natural (archaeology) , product (mathematics) , natural product research , data science , computer science , database , biology , bioinformatics , biological activity , pharmacognosy , paleontology , biochemistry , geometry , mathematics , in vitro
Objectives Many natural products have pharmacological or biological activities that can be of therapeutic benefit in treating diseases, and are also an important source of inspiration for development of potential novel drugs. The past few decades have witnessed extensive study of natural products for their promising prospects in application of medicinal chemistry, molecular biology and pharmaceutical sciences. Materials and methods Natural product databases have provided systematic collection of information concerning natural products and their derivatives, including structure, source and mechanisms of action, which significantly support modern drug discovery. Results Currently, a considerable number of natural product databases, such as TCM Database@Taiwan, TCMID , CEMTDD , SuperToxic and SuperNatural, have been developed, providing data such as integrated medicinal herbs, ingredients, 2D/3D structures of the compounds, related target proteins, relevant diseases, and metabolic toxicity and more. Conclusions We focus on an analytical overview of current natural product databases, and further discuss the good, bad or imperfection of current ones, in the hope of better integrating existing relevant outcomes, thus providing new routes for future drug discovery.

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