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.
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Acknowledgments
This work was supported in part by grants from Lee Kong Chian School of Medicine, Nanyang Technological University Singapore Start-Up Grant to N.K.V., the Singapore Ministry of Education (MOE) under its MOE Academic Research Fund (AcRF) Tier 1 (2014-T1-001-141) and MOE-AcRF Tier 2 (MOE2017-T2-2-004). J.C.R. acknowledges funding support from the MOE-AcRF Tier 2 grant (MOE2016-T2-1-029).
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Kumar, S., Fazil, M.H.U.T., Ahmad, K., Tripathy, M., Rajapakse, J.C., Verma, N.K. (2019). Computational Analysis of Protein–Protein Interactions in Motile T-Cells. In: Verma, N. (eds) T-Cell Motility. Methods in Molecular Biology, vol 1930. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-9036-8_18
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DOI: https://doi.org/10.1007/978-1-4939-9036-8_18
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