RAM-PGK: Prediction of Lysine Phosphoglycerylation Based on Residue Adjacency Matrix.

Journal: Genes
Published Date:

Abstract

BACKGROUND: Post-translational modification (PTM) is a biological process that is associated with the modification of proteome, which results in the alteration of normal cell biology and pathogenesis. There have been numerous PTM reports in recent years, out of which, lysine phosphoglycerylation has emerged as one of the recent developments. The traditional methods of identifying phosphoglycerylated residues, which are experimental procedures such as mass spectrometry, have shown to be time-consuming and cost-inefficient, despite the abundance of proteins being sequenced in this post-genomic era. Due to these drawbacks, computational techniques are being sought to establish an effective identification system of phosphoglycerylated lysine residues. The development of a predictor for phosphoglycerylation prediction is not a first, but it is necessary as the latest predictor falls short in adequately detecting phosphoglycerylated and non-phosphoglycerylated lysine residues.

Authors

  • Abel Avitesh Chandra
    School of Engineering & Physics, University of the South Pacific, Laucala Bay, Suva, Fiji.
  • Alok Sharma
    Center for Integrative Medical Sciences, RIKEN Yokohama, Yokohama, 230-0045, Japan.
  • Abdollah Dehzangi
    1] Signal Processing Laboratory, School of Engineering, Griffith University, Brisbane, Australia [2] Institute for Integrated and Intelligent Systems, Griffith University, Brisbane, Australia.
  • Tatushiko Tsunoda
    Laboratory for Medical Science Mathematics, RIKEN Center for Integrative Medical Sciences, Yokohama 230-0045, Japan.