Prediction of human-Bacillus anthracis protein-protein interactions using multi-layer neural network.

Journal: Bioinformatics (Oxford, England)
PMID: 29945178

Abstract

MOTIVATION: Triplet amino acids have successfully been included in feature selection to predict human-HPV protein-protein interactions (PPI). The utility of supervised learning methods is curtailed due to experimental data not being available in sufficient quantities. Improvements in machine learning techniques and features selection will enhance the study of PPI between host and pathogen.

Authors

  • Ibrahim Ahmed
    South African National Bioinformatics Institute, South African MRC Bioinformatics Unit.
  • Peter Witbooi
    Department of Mathematics and Applied Mathematics, University of the Western Cape, Bellville, South Africa.
  • Alan Christoffels
    South African Medical Research Council Bioinformatics Unit, South African National Bioinformatics Institute, University of the Western Cape, Cape Town, South Africa.

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