StructuralDPPIV: a novel deep learning model based on atom structure for predicting dipeptidyl peptidase-IV inhibitory peptides.

Journal: Bioinformatics (Oxford, England)
Published Date: Feb 1, 2024

Abstract

MOTIVATION: Diabetes is a chronic metabolic disorder that has been a major cause of blindness, kidney failure, heart attacks, stroke, and lower limb amputation across the world. To alleviate the impact of diabetes, researchers have developed the next generation of anti-diabetic drugs, known as dipeptidyl peptidase IV inhibitory peptides (DPP-IV-IPs). However, the discovery of these promising drugs has been restricted due to the lack of effective peptide-mining tools.

Authors

  • Ding Wang
  • Junru Jin
    School of Software, Shandong University, Jinan, China.
  • Zhongshen Li
    School of Software, Shandong University, Jinan, China.
  • Yu Wang
    Clinical and Technical Support, Philips Healthcare, Shanghai, China.
  • Mushuang Fan
    School of Software, Shandong University, Jinan 250101, China.
  • Sirui Liang
    School of Software, Shandong University, Jinan, 250101, China; Joint SDU-NTU Centre for Artificial Intelligence Research (C-FAIR), Shandong University, Jinan, 250101, China.
  • Ran Su
    School of Software, Tianjin University, Tianjin, China.
  • Leyi Wei
    School of Computer Science and Technology, Tianjin University, Tianjin, 30050, China.

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