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Current Pharmaceutical Design

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ISSN (Print): 1381-6128
ISSN (Online): 1873-4286

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Mini-Review Article

Application of Machine Learning Methods for the Development of Antidiabetic Drugs

Author(s): Juanjuan Zhao, Pengcheng Xu, Xiujuan Liu, Xiaobo Ji*, Minjie Li, Dev Sooranna, Xiaosheng Qu*, Wencong Lu* and Bing Niu*

Volume 28, Issue 4, 2022

Published on: 22 June, 2021

Page: [260 - 271] Pages: 12

DOI: 10.2174/1381612827666210622104428

Price: $65

Abstract

Diabetes is a chronic non-communicable disease caused by several different routes, which has attracted increasing attention. In order to speed up the development of new selective drugs, machine learning (ML) technology has been applied in the process of diabetes drug development and opens up a new blueprint for drug design. This review provides a comprehensive portrayal of the application of ML in antidiabetic drug use.

Keywords: Antidiabetic drugs, mechanism of action, machine learning, hypoglycemic action, inhibitory activity, DPP-IV inhibitors.

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