Issue 9, 2021

DiaNat-DB: a molecular database of antidiabetic compounds from medicinal plants

Abstract

Natural products are an invaluable source of molecules with a large variety of biological activities. Interest in natural products in drug discovery is documented in an increasing number of publications of bioactive secondary metabolites. Among those, medicinal plants are one of the most studied for this endeavor. An ever thriving area of opportunity within the field concerns the discovery of antidiabetic natural products. As a result, a vast amount of secondary metabolites are isolated from medicinal plants used against diabetes mellitus but whose information has not been organized systematically yet. Several research articles enumerate antidiabetic compounds, but the lack of a chemical database for antidiabetic metabolites limits their application in drug development. In this work, we present DiaNat-DB, a comprehensive collection of 336 molecules from medicinal plants reported to have in vitro or in vivo antidiabetic activity. We also discuss a chemoinformatic analysis of DiaNat-DB to compare antidiabetic drugs and natural product databases. To further explore the antidiabetic chemical space based on DiaNat compounds, we searched for analogs in ZINC15, an extensive database listing commercially available compounds. This work will help future analyses, design, and development of new antidiabetic drugs. DiaNat-DB and its ZINC15 analogs are freely available at http://rdu.iquimica.unam.mx/handle/20.500.12214/1186.

Graphical abstract: DiaNat-DB: a molecular database of antidiabetic compounds from medicinal plants

Supplementary files

Article information

Article type
Paper
Submitted
12 dek 2020
Accepted
15 yan 2021
First published
28 yan 2021
This article is Open Access
Creative Commons BY-NC license

RSC Adv., 2021,11, 5172-5178

DiaNat-DB: a molecular database of antidiabetic compounds from medicinal plants

A. Madariaga-Mazón, J. J. Naveja, J. L. Medina-Franco, K. O. Noriega-Colima and K. Martinez-Mayorga, RSC Adv., 2021, 11, 5172 DOI: 10.1039/D0RA10453A

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