DGCPPISP: a PPI site prediction model based on dynamic graph convolutional network and two-stage transfer learning.

Journal: BMC bioinformatics
Published Date: Jul 31, 2024

Abstract

BACKGROUND: Proteins play a pivotal role in the diverse array of biological processes, making the precise prediction of protein-protein interaction (PPI) sites critical to numerous disciplines including biology, medicine and pharmacy. While deep learning methods have progressively been implemented for the prediction of PPI sites within proteins, the task of enhancing their predictive performance remains an arduous challenge.

Authors

  • Zijian Feng
    Zhejiang Province Key Laboratory of Smart Management and Application of Modern Agricultural Resources, School of Information Engineering, Huzhou University, Huzhou, 313000, Zhejiang, China.
  • Weihong Huang
    "Mobile Health" Ministry of Education - China Mobile Joint Laboratory, Xiangya Hospital of Central South University, Changsha, Hunan, China.
  • Haohao Li
    College of Science, Zhejiang Sci-Tech University, Hangzhou, 310018, Zhejiang, China.
  • Hancan Zhu
    School of Mathematics Physics and Information, Shaoxing University, Shaoxing, 312000, China.
  • Yanlei Kang
    Zhejiang Province Key Laboratory of Smart Management & Application of Modern Agricultural Resources, School of Information Engineering, Huzhou University, Huzhou, Zhejiang 313000, China.
  • Zhong Li
    Honghui Hospital, Xi'an Jiaotong University, Xi'an, China.

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