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Computational approaches for molecular characterization and structure-based functional elucidation of a hypothetical protein from Mycobacterium tuberculosis
Adaptation of infections and hosts has resulted in several metabolic mechanisms adopted by intracellular pathogens to combat the defense responses and the lack of fuel during infection. Human tuberculosis caused by Mycobacterium tuberculosis (MTB) is the world’s first cause of mortality tied to a si...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Korea Genome Organization
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326535/ https://www.ncbi.nlm.nih.gov/pubmed/37415455 http://dx.doi.org/10.5808/gi.23001 |
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author | Saikat, Abu Saim Mohammad |
author_facet | Saikat, Abu Saim Mohammad |
author_sort | Saikat, Abu Saim Mohammad |
collection | PubMed |
description | Adaptation of infections and hosts has resulted in several metabolic mechanisms adopted by intracellular pathogens to combat the defense responses and the lack of fuel during infection. Human tuberculosis caused by Mycobacterium tuberculosis (MTB) is the world’s first cause of mortality tied to a single disease. This study aims to characterize and anticipate potential antigen characteristics for promising vaccine candidates for the hypothetical protein of MTB through computational strategies. The protein is associated with the catalyzation of dithiol oxidation and/or disulfide reduction because of the protein’s anticipated disulfide oxidoreductase properties. This investigation analyzed the protein's physicochemical characteristics, protein-protein interactions, subcellular locations, anticipated active sites, secondary and tertiary structures, allergenicity, antigenicity, and toxicity properties. The protein has significant active amino acid residues with no allergenicity, elevated antigenicity, and no toxicity. |
format | Online Article Text |
id | pubmed-10326535 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Korea Genome Organization |
record_format | MEDLINE/PubMed |
spelling | pubmed-103265352023-07-08 Computational approaches for molecular characterization and structure-based functional elucidation of a hypothetical protein from Mycobacterium tuberculosis Saikat, Abu Saim Mohammad Genomics Inform Original Article Adaptation of infections and hosts has resulted in several metabolic mechanisms adopted by intracellular pathogens to combat the defense responses and the lack of fuel during infection. Human tuberculosis caused by Mycobacterium tuberculosis (MTB) is the world’s first cause of mortality tied to a single disease. This study aims to characterize and anticipate potential antigen characteristics for promising vaccine candidates for the hypothetical protein of MTB through computational strategies. The protein is associated with the catalyzation of dithiol oxidation and/or disulfide reduction because of the protein’s anticipated disulfide oxidoreductase properties. This investigation analyzed the protein's physicochemical characteristics, protein-protein interactions, subcellular locations, anticipated active sites, secondary and tertiary structures, allergenicity, antigenicity, and toxicity properties. The protein has significant active amino acid residues with no allergenicity, elevated antigenicity, and no toxicity. Korea Genome Organization 2023-06-30 /pmc/articles/PMC10326535/ /pubmed/37415455 http://dx.doi.org/10.5808/gi.23001 Text en (c) 2023, Korea Genome Organization https://creativecommons.org/licenses/by/4.0/(CC) This is an open-access article distributed under the terms of the Creative Commons Attribution license(https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Saikat, Abu Saim Mohammad Computational approaches for molecular characterization and structure-based functional elucidation of a hypothetical protein from Mycobacterium tuberculosis |
title | Computational approaches for molecular characterization and structure-based functional elucidation of a hypothetical protein from Mycobacterium tuberculosis |
title_full | Computational approaches for molecular characterization and structure-based functional elucidation of a hypothetical protein from Mycobacterium tuberculosis |
title_fullStr | Computational approaches for molecular characterization and structure-based functional elucidation of a hypothetical protein from Mycobacterium tuberculosis |
title_full_unstemmed | Computational approaches for molecular characterization and structure-based functional elucidation of a hypothetical protein from Mycobacterium tuberculosis |
title_short | Computational approaches for molecular characterization and structure-based functional elucidation of a hypothetical protein from Mycobacterium tuberculosis |
title_sort | computational approaches for molecular characterization and structure-based functional elucidation of a hypothetical protein from mycobacterium tuberculosis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10326535/ https://www.ncbi.nlm.nih.gov/pubmed/37415455 http://dx.doi.org/10.5808/gi.23001 |
work_keys_str_mv | AT saikatabusaimmohammad computationalapproachesformolecularcharacterizationandstructurebasedfunctionalelucidationofahypotheticalproteinfrommycobacteriumtuberculosis |