Food-derived DPP4 inhibitors: Drug discovery based on high-throughput virtual screening and deep learning.

Journal: Food chemistry
Published Date:

Abstract

Dipeptidyl peptidase-4 (DPP-4) is a critical target for the treatment of type 2 diabetes. This study outlines the development of six compounds derived from food sources and modified to create promising candidates for the treatment of diabetes. These compounds were identified through a combination of virtual screening, deep learning algorithms, ADMET characterization assessment, and molecular dynamics simulations. Furthermore, a taste prediction model was used to assess the flavor of these DPP-4 inhibiting compounds. After thorough evaluation, we concluded that the six food-derived DPP-4 inhibitors identified have significant potential for therapeutic success. This study has greatly contributed to the discovery of novel dietary supplements for the management of type 2 diabetes.

Authors

  • Jiahua Tao
    School of Ocean and Tropical Medicine. Guangdong Medical University, Zhanjiang, Guangdong 524023, China.
  • Liang Chen
    Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China.
  • Jiaqi Chen
    Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
  • Lianxiang Luo
    The Marine Biomedical Research Institute of Guangdong Zhanjiang, School of Ocean and Tropical Medicine, Guangdong Medical University, Zhanjiang, Guangdong, 524023, China. luolianxiang321@gdmu.edu.cn.