Computational analysis of protein–protein interactions in motile T-cells

• Published in: Methods in Molecular Biology
• Main Author: Kumar S.; Fazil M.H.U.T.; Ahmad K.; Tripathy M.; Rajapakse J.C.; Verma N.K.
• Format: Book chapter
• Language: English
• Published: Humana Press Inc. 2019
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059493704&doi=10.1007%2f978-1-4939-9036-8_18&partnerID=40&md5=f520a32217aca7835fc5a346cc1a8486

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. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.