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NPASS: natural product activity and species source database for natural product research, discovery and tool development

Overview of attention for article published in Nucleic Acids Research, November 2017
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Title
NPASS: natural product activity and species source database for natural product research, discovery and tool development
Published in
Nucleic Acids Research, November 2017
DOI 10.1093/nar/gkx1026
Pubmed ID
Authors

Xian Zeng, Peng Zhang, Weidong He, Chu Qin, Shangying Chen, Lin Tao, Yali Wang, Ying Tan, Dan Gao, Bohua Wang, Zhe Chen, Weiping Chen, Yu Yang Jiang, Yu Zong Chen

Abstract

There has been renewed interests in the exploration of natural products (NPs) for drug discovery, and continuous investigations of the therapeutic claims and mechanisms of traditional and herbal medicines. In-silico methods have been employed for facilitating these studies. These studies and the optimization of in-silico algorithms for NP applications can be facilitated by the quantitative activity and species source data of the NPs. A number of databases collectively provide the structural and other information of ∼470 000 NPs, including qualitative activity information for many NPs, but only ∼4000 NPs are with the experimental activity values. There is a need for the activity and species source data of more NPs. We therefore developed a new database, NPASS (Natural Product Activity and Species Source) to complement other databases by providing the experimental activity values and species sources of 35 032 NPs from 25 041 species targeting 5863 targets (2946 proteins, 1352 microbial species and 1227 cell-lines). NPASS contains 446 552 quantitative activity records (e.g. IC50, Ki, EC50, GI50 or MIC mainly in units of nM) of 222 092 NP-target pairs and 288 002 NP-species pairs. NPASS, http://bidd2.nus.edu.sg/NPASS/, is freely accessible with its contents searchable by keywords, physicochemical property range, structural similarity, species and target search facilities.

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Mendeley readers

The data shown below were compiled from readership statistics for 223 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 223 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 37 17%
Student > Ph. D. Student 35 16%
Student > Master 29 13%
Student > Bachelor 20 9%
Other 11 5%
Other 30 13%
Unknown 61 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 52 23%
Chemistry 28 13%
Agricultural and Biological Sciences 22 10%
Pharmacology, Toxicology and Pharmaceutical Science 12 5%
Computer Science 8 4%
Other 24 11%
Unknown 77 35%