PreTP-2L: identification of therapeutic peptides and their types using two-layer ensemble learning framework.

Journal: Bioinformatics (Oxford, England)
Published Date: Apr 3, 2023

Abstract

MOTIVATION: Therapeutic peptides play an important role in immune regulation. Recently various therapeutic peptides have been used in the field of medical research, and have great potential in the design of therapeutic schedules. Therefore, it is essential to utilize the computational methods to predict the therapeutic peptides. However, the therapeutic peptides cannot be accurately predicted by the existing predictors. Furthermore, chaotic datasets are also an important obstacle of the development of this important field. Therefore, it is still challenging to develop a multi-classification model for identification of therapeutic peptides and their types.

Authors

  • Ke Yan
    Department of Biostatistics, Medical College of Wisconsin, Milwaukee, Wis.
  • Yichen Guo
    School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China. Electronic address: ycguo@bliulab.net.
  • Bin Liu
    Department of Endocrinology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China; Department of Endocrinology, Neijiang First People's Hospital, Chongqing, China.

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