PRPI-SC: an ensemble deep learning model for predicting plant lncRNA-protein interactions.

Journal: BMC bioinformatics
PMID: 34429059

Abstract

BACKGROUND: Plant long non-coding RNAs (lncRNAs) play vital roles in many biological processes mainly through interactions with RNA-binding protein (RBP). To understand the function of lncRNAs, a fundamental method is to identify which types of proteins interact with the lncRNAs. However, the models or rules of interactions are a major challenge when calculating and estimating the types of RBP.

Authors

  • Haoran Zhou
    School of Computer Science and Technology, Dalian University of Technology, Dalian, 116024, Liaoning, China.
  • Jael Sanyanda Wekesa
    School of Computer Science and Technology, Dalian University of Technology, Dalian, Liaoning 116023, China; School of Computing and Information Technology, Jomo Kenyatta University of Agriculture and Technology, Nairobi 62000-00200, Kenya.
  • Yushi Luan
    School of Bioengineering, Dalian University of Technology, Dalian, Liaoning 116023, China.
  • Jun Meng

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