DeepLPI: a multimodal deep learning method for predicting the interactions between lncRNAs and protein isoforms.

Journal: BMC bioinformatics
Published Date: Jan 18, 2021

Abstract

BACKGROUND: Long non-coding RNAs (lncRNAs) regulate diverse biological processes via interactions with proteins. Since the experimental methods to identify these interactions are expensive and time-consuming, many computational methods have been proposed. Although these computational methods have achieved promising prediction performance, they neglect the fact that a gene may encode multiple protein isoforms and different isoforms of the same gene may interact differently with the same lncRNA.

Authors

  • Dipan Shaw
    Department of Compute Science and Engineering, University of California, Riverside, CA, USA.
  • Hao Chen
    The First School of Medicine, Wenzhou Medical University, Wenzhou, China.
  • Minzhu Xie
    College of Information Science and Engineering, Hunan Normal University, Changsha, China. xieminzhu@hotmail.com.
  • Tao Jiang
    Department of Respiratory and Critical Care Medicine, Center for Respiratory Medicine, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China.

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