Improved Prediction of Protein-Protein Interaction Mapping on by Using Amino Acid Sequence Features in a Supervised Learning Framework.

Journal: Protein and peptide letters
Published Date: Jan 1, 2021

Abstract

BACKGROUND: Protein-Protein Interaction (PPI) has emerged as a key role in the control of many biological processes including protein function, disease incidence, and therapy design. However, the identification of PPI by wet lab experiment is a challenging task, since it is laborious, time consuming and expensive. Therefore, computational prediction of PPI is now given emphasis before going to the experimental validation, since it is simultaneously less laborious, time saver and cost minimizer.

Authors

  • Md Merajul Islam
    Department of Statistics, University of Rajshahi, Rajshahi, 6205, Bangladesh. Electronic address: merajul.stat4811@gmail.com.
  • Md Jahangir Alam
    Bioinformatics Laboratory, Department of Statistics, Rajshahi University, Rajshahi-6205, Bangladesh.
  • Fee Faysal Ahmed
    Department of Mathematics, Jashore University of Science and Technology, Jashore, Bangladesh.
  • Md Mehedi Hasan
    Nutrition and Clinical Services Division, International Center for Diarrheal Disease and Research, Bangladesh (icddr,b), Dhaka, Bangladesh.
  • Md Nurul Haque Mollah
    Bioinformatics Laboratory, Department of Statistics, Rajshahi University, Rajshahi-6205, Bangladesh.

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