Affiliations 

  • 1 ICAR-NBAIM, Mau, Uttar Pradesh, India. [email protected]
  • 2 Lymphocyte Signalling Research Laboratory, Lee Kong Chain School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
  • 3 ICAR-NBAIM, Mau, Uttar Pradesh, India
  • 4 Laboratory of Fundamentals of Pharmaceutics, Faculty of Pharmacy, Universiti Teknologi MARA (UiTM), Bandar Puncak Alam, Selangor, Malaysia
  • 5 School of Computer Science and Engineering, Nanyang Technological University Singapore, Singapore, Singapore
  • 6 Lee Kong Chain School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore
Methods Mol Biol, 2019;1930:149-156.
PMID: 30610609 DOI: 10.1007/978-1-4939-9036-8_18

Abstract

Analysis of protein-protein interactions is important for better understanding of molecular mechanisms involved in immune regulation and has potential for elaborating avenues for drug discovery targeting T-cell motility. Currently, only a small fraction of protein-protein interactions have been characterized in T-lymphocytes although there are several detection methods available. In this regard, computational approaches garner importance, with the continued explosion of genomic and proteomic data, for handling protein modeling and protein-protein interactions in large scale. Here, we describe a computational method to identify protein-protein interactions based on in silico protein design.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.