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

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 char...

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Bibliographic Details
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
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Summary: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.
ISSN:10643745
DOI:10.1007/978-1-4939-9036-8_18