A machine learning strategy for predicting localization of post-translational modification sites in protein-protein interacting regions.

Journal: BMC bioinformatics
Published Date:

Abstract

BACKGROUND: One very important functional domain of proteins is the protein-protein interacting region (PPIR), which forms the binding interface between interacting polypeptide chains. Post-translational modifications (PTMs) that occur in the PPIR can either interfere with or facilitate the interaction between proteins. The ability to predict whether sites of protein modifications are inside or outside of PPIRs would be useful in further elucidating the regulatory mechanisms by which modifications of specific proteins regulate their cellular functions.

Authors

  • Thammakorn Saethang
    Systems Biology Center, Research Affairs, Faculty of Medicine, Chulalongkorn University, 1873 Rama 4 Road, Pathumwan, Bangkok, 10330, Thailand.
  • D Michael Payne
    Systems Biology Center, Research Affairs, Faculty of Medicine, Chulalongkorn University, 1873 Rama 4 Road, Pathumwan, Bangkok, 10330, Thailand.
  • Yingyos Avihingsanon
    Department of Medicine, Division of Nephrology, Faculty of Medicine, Chulalongkorn University, 1873 Rama 4 Road, Pathumwan, Bangkok, 10330, Thailand. fmedyah@md.chula.ac.th.
  • Trairak Pisitkun
    Systems Biology Center, Research Affairs, Faculty of Medicine, Chulalongkorn University, 1873 Rama 4 Road, Pathumwan, Bangkok, 10330, Thailand. pisitkut@nhlbi.nih.gov.