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Molecular modeling, simulation and docking of Rv1250 protein from Mycobacterium tuberculosis

Computational prediction and protein structure modeling have come to the aid of various biological problems in determining the structure of proteins. These technologies have revolutionized the biological world of research, allowing scientists and researchers to gain insights into their biological qu...

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Autores principales: Choudhary, Sumita, Kesavan, Anup Kumar, Juneja, Vijay, Thakur, Sheetal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130521/
https://www.ncbi.nlm.nih.gov/pubmed/37122997
http://dx.doi.org/10.3389/fbinf.2023.1125479
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author Choudhary, Sumita
Kesavan, Anup Kumar
Juneja, Vijay
Thakur, Sheetal
author_facet Choudhary, Sumita
Kesavan, Anup Kumar
Juneja, Vijay
Thakur, Sheetal
author_sort Choudhary, Sumita
collection PubMed
description Computational prediction and protein structure modeling have come to the aid of various biological problems in determining the structure of proteins. These technologies have revolutionized the biological world of research, allowing scientists and researchers to gain insights into their biological questions and design experimental research much more efficiently. Pathogenic Mycobacterium spp. is known to stay alive within the macrophages of its host. Mycobacterium tuberculosis is an acid-fast bacterium that is the most common cause of tuberculosis and is considered to be the main cause of resistance of tuberculosis as a leading health issue. The genome of Mycobacterium tuberculosis contains more than 4,000 genes, of which the majority are of unknown function. An attempt has been made to computationally model and dock one of its proteins, Rv1250 (MTV006.22), which is considered as an apparent drug-transporter, integral membrane protein, and member of major facilitator superfamily (MFS). The most widely used techniques, i.e., homology modeling, molecular docking, and molecular dynamics (MD) simulation in the field of structural bioinformatics, have been used in the present work to study the behavior of Rv1250 protein from M. tuberculosis. The structure of unknown TB protein, i.e., Rv1250 was retrived using homology modeling with the help of I-TASSER server. Further, one of the sites responsible for infection was identified and docking was done by using the specific Isoniazid ligand which is an inhibitor of this protein. Finally, the stability of protein model and analysis of stable and static interaction between protein and ligand molecular dynamic simulation was performed at 100 ns The designing of novel Rv1250 enzyme inhibitors is likely achievable with the use of proposed predicted model, which could be helpful in preventing the pathogenesis caused by M. tuberculosis. Finally, the MD simulation was done to evaluate the stability of the ligand for the specific protein.
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spelling pubmed-101305212023-04-27 Molecular modeling, simulation and docking of Rv1250 protein from Mycobacterium tuberculosis Choudhary, Sumita Kesavan, Anup Kumar Juneja, Vijay Thakur, Sheetal Front Bioinform Bioinformatics Computational prediction and protein structure modeling have come to the aid of various biological problems in determining the structure of proteins. These technologies have revolutionized the biological world of research, allowing scientists and researchers to gain insights into their biological questions and design experimental research much more efficiently. Pathogenic Mycobacterium spp. is known to stay alive within the macrophages of its host. Mycobacterium tuberculosis is an acid-fast bacterium that is the most common cause of tuberculosis and is considered to be the main cause of resistance of tuberculosis as a leading health issue. The genome of Mycobacterium tuberculosis contains more than 4,000 genes, of which the majority are of unknown function. An attempt has been made to computationally model and dock one of its proteins, Rv1250 (MTV006.22), which is considered as an apparent drug-transporter, integral membrane protein, and member of major facilitator superfamily (MFS). The most widely used techniques, i.e., homology modeling, molecular docking, and molecular dynamics (MD) simulation in the field of structural bioinformatics, have been used in the present work to study the behavior of Rv1250 protein from M. tuberculosis. The structure of unknown TB protein, i.e., Rv1250 was retrived using homology modeling with the help of I-TASSER server. Further, one of the sites responsible for infection was identified and docking was done by using the specific Isoniazid ligand which is an inhibitor of this protein. Finally, the stability of protein model and analysis of stable and static interaction between protein and ligand molecular dynamic simulation was performed at 100 ns The designing of novel Rv1250 enzyme inhibitors is likely achievable with the use of proposed predicted model, which could be helpful in preventing the pathogenesis caused by M. tuberculosis. Finally, the MD simulation was done to evaluate the stability of the ligand for the specific protein. Frontiers Media S.A. 2023-04-12 /pmc/articles/PMC10130521/ /pubmed/37122997 http://dx.doi.org/10.3389/fbinf.2023.1125479 Text en Copyright © 2023 Choudhary, Kesavan, Juneja and Thakur. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioinformatics
Choudhary, Sumita
Kesavan, Anup Kumar
Juneja, Vijay
Thakur, Sheetal
Molecular modeling, simulation and docking of Rv1250 protein from Mycobacterium tuberculosis
title Molecular modeling, simulation and docking of Rv1250 protein from Mycobacterium tuberculosis
title_full Molecular modeling, simulation and docking of Rv1250 protein from Mycobacterium tuberculosis
title_fullStr Molecular modeling, simulation and docking of Rv1250 protein from Mycobacterium tuberculosis
title_full_unstemmed Molecular modeling, simulation and docking of Rv1250 protein from Mycobacterium tuberculosis
title_short Molecular modeling, simulation and docking of Rv1250 protein from Mycobacterium tuberculosis
title_sort molecular modeling, simulation and docking of rv1250 protein from mycobacterium tuberculosis
topic Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130521/
https://www.ncbi.nlm.nih.gov/pubmed/37122997
http://dx.doi.org/10.3389/fbinf.2023.1125479
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