Learning protein binding affinity using privileged information.

Journal: BMC bioinformatics
Published Date:

Abstract

BACKGROUND: Determining protein-protein interactions and their binding affinity are important in understanding cellular biological processes, discovery and design of novel therapeutics, protein engineering, and mutagenesis studies. Due to the time and effort required in wet lab experiments, computational prediction of binding affinity from sequence or structure is an important area of research. Structure-based methods, though more accurate than sequence-based techniques, are limited in their applicability due to limited availability of protein structure data.

Authors

  • Wajid Arshad Abbasi
    Biomedical Informatics Research Laboratory (BIRL), Department of Computer and Information Sciences (DCIS), Pakistan Institute of Engineering and Applied Sciences (PIEAS), Nilore, ISL, 45650, Pakistan.
  • Amina Asif
    Biomedical Informatics Research Laboratory, Department of Computer and Information Sciences, Pakistan Institute of Engineering and Applied Sciences, PO Nilore, Islamabad, Pakistan.
  • Asa Ben-Hur
    Department of Computer Science, Colorado State University, Fort Collins, Colorado, United States of America.
  • Fayyaz Ul Amir Afsar Minhas
    Biomedical Informatics Research Laboratory, Department of Computer and Information Sciences, Pakistan Institute of Engineering and Applied Sciences, PO Nilore, Islamabad, Pakistan.