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EMNPD: a comprehensive endophytic microorganism natural products database for prompt the discovery of new bioactive substances.

Authors :
Xu, Hong-Quan
Xiao, Huan
Bu, Jin-Hui
Hong, Yan-Feng
Liu, Yu-Hong
Tao, Zi-Yue
Ding, Shu-Fan
Xia, Yi-Tong
Wu, E
Yan, Zhen
Zhang, Wei
Chen, Gong-Xing
Zhu, Feng
Tao, Lin
Source :
Journal of Cheminformatics. 11/28/2023, Vol. 15 Issue 1, p1-10. 10p.
Publication Year :
2023

Abstract

The discovery and utilization of natural products derived from endophytic microorganisms have garnered significant attention in pharmaceutical research. While remarkable progress has been made in this field each year, the absence of dedicated open-access databases for endophytic microorganism natural products research is evident. To address the increasing demand for mining and sharing of data resources related to endophytic microorganism natural products, this study introduces EMNPD, a comprehensive endophytic microorganism natural products database comprising manually curated data. Currently, EMNPD offers 6632 natural products from 1017 endophytic microorganisms, targeting 1286 entities (including 94 proteins, 282 cell lines, and 910 species) with 91 diverse bioactivities. It encompasses the physico-chemical properties of natural products, ADMET information, quantitative activity data with their potency, natural products contents with diverse fermentation conditions, systematic taxonomy, and links to various well-established databases. EMNPD aims to function as an open-access knowledge repository for the study of endophytic microorganisms and their natural products, thereby facilitating drug discovery research and exploration of bioactive substances. The database can be accessed at http://emnpd.idrblab.cn/ without the need for registration, enabling researchers to freely download the data. EMNPD is expected to become a valuable resource in the field of endophytic microorganism natural products and contribute to future drug development endeavors. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17582946
Volume :
15
Issue :
1
Database :
Academic Search Index
Journal :
Journal of Cheminformatics
Publication Type :
Academic Journal
Accession number :
173891200
Full Text :
https://doi.org/10.1186/s13321-023-00779-9