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...
| 發表在: | Methods in Molecular Biology |
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| 格式: | Book chapter |
| 語言: | English |
| 出版: |
Humana Press Inc.
2019
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| 在線閱讀: | 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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Kumar S.; Fazil M.H.U.T.; Ahmad K.; Tripathy M.; Rajapakse J.C.; Verma N.K. |
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Kumar S.; Fazil M.H.U.T.; Ahmad K.; Tripathy M.; Rajapakse J.C.; Verma N.K. 2-s2.0-85059493704 Computational analysis of protein–protein interactions in motile T-cells 2019 Methods in Molecular Biology 1930 10.1007/978-1-4939-9036-8_18 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. Humana Press Inc. 10643745 English Book chapter |
| author |
2-s2.0-85059493704 |
| spellingShingle |
2-s2.0-85059493704 Computational analysis of protein–protein interactions in motile T-cells |
| author_facet |
2-s2.0-85059493704 |
| author_sort |
2-s2.0-85059493704 |
| title |
Computational analysis of protein–protein interactions in motile T-cells |
| title_short |
Computational analysis of protein–protein interactions in motile T-cells |
| title_full |
Computational analysis of protein–protein interactions in motile T-cells |
| title_fullStr |
Computational analysis of protein–protein interactions in motile T-cells |
| title_full_unstemmed |
Computational analysis of protein–protein interactions in motile T-cells |
| title_sort |
Computational analysis of protein–protein interactions in motile T-cells |
| publishDate |
2019 |
| container_title |
Methods in Molecular Biology |
| container_volume |
1930 |
| container_issue |
|
| doi_str_mv |
10.1007/978-1-4939-9036-8_18 |
| url |
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 |
| description |
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. |
| publisher |
Humana Press Inc. |
| issn |
10643745 |
| language |
English |
| format |
Book chapter |
| accesstype |
|
| record_format |
scopus |
| collection |
Scopus |
| _version_ |
1828987876571873280 |