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

Sunil Kumar; Mobashar Hussain Urf Turabe Fazil; Khurshid Ahmad; Minaketan Tripathy; Jagath Chandana Rajapakse; Navin Kumar Verma

doi:10.1007/978-1-4939-9036-8_18

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

Sunil Kumar^*, Mobashar Hussain Urf Turabe Fazil, Khurshid Ahmad, Minaketan Tripathy, Jagath Chandana Rajapakse, Navin Kumar Verma

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter

4 Citations (Scopus)

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.

Original language	English
Title of host publication	Methods in Molecular Biology
Publisher	Humana Press Inc.
Pages	149-156
Number of pages	8
DOIs	https://doi.org/10.1007/978-1-4939-9036-8_18
Publication status	Published - 2019
Externally published	Yes

Publication series

Name	Methods in Molecular Biology
Volume	1930
ISSN (Print)	1064-3745

Bibliographical note

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

ASJC Scopus Subject Areas

Molecular Biology
Genetics

Keywords

Docking
Molecular dynamics simulation
Protein modeling
Protein–protein interactions

Access to Document

10.1007/978-1-4939-9036-8_18

Cite this

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title = "Computational analysis of protein–protein interactions in motile T-cells",

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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language = "English",

series = "Methods in Molecular Biology",

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AU - Kumar, Sunil

AU - Fazil, Mobashar Hussain Urf Turabe

AU - Ahmad, Khurshid

AU - Tripathy, Minaketan

AU - Rajapakse, Jagath Chandana

AU - Verma, Navin Kumar

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Docking

KW - Molecular dynamics simulation

KW - Protein modeling

KW - Protein–protein interactions

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T3 - Methods in Molecular Biology

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BT - Methods in Molecular Biology

PB - Humana Press Inc.

ER -

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

Abstract

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Bibliographical note

ASJC Scopus Subject Areas

Keywords

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