Dataset of potential targets for Mycobacterium tuberculosis H37Rv through comparative genome analysis

Mycobacterium tuberculosis is the causative agent of the disease, tuberculosis and H37Rv is the most studied clinical strain. We use comparative genome analysis of Mycobacterium tuberculosis H37Rv and human for the identification of potential targets dataset. We used DEG (Database of Essential Genes...

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Autores principales: Asif, Siddiqui M, Asad, Amir, Faizan, Ahmad, Anjali, Malik S, Arvind, Arya, Neelesh, Kapoor, Hirdesh, Kumar, Sanjay, Kumar
Formato: Texto
Lenguaje:English
Publicado: Biomedical Informatics Publishing Group 2009
Materias:
Hypothesis
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2951718/
https://www.ncbi.nlm.nih.gov/pubmed/20975918
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author Asif, Siddiqui M
Asad, Amir
Faizan, Ahmad
Anjali, Malik S
Arvind, Arya
Neelesh, Kapoor
Hirdesh, Kumar
Sanjay, Kumar
author_facet Asif, Siddiqui M
Asad, Amir
Faizan, Ahmad
Anjali, Malik S
Arvind, Arya
Neelesh, Kapoor
Hirdesh, Kumar
Sanjay, Kumar
author_sort Asif, Siddiqui M
collection PubMed
description Mycobacterium tuberculosis is the causative agent of the disease, tuberculosis and H37Rv is the most studied clinical strain. We use comparative genome analysis of Mycobacterium tuberculosis H37Rv and human for the identification of potential targets dataset. We used DEG (Database of Essential Genes) to identify essential genes in the H37Rv strain. The analysis shows that 628 of the 3989 genes in Mycobacterium tuberculosis H37Rv were found to be essential of which 324 genes lack similarity to the human genome. Subsequently hypothetical proteins were removed through manual curation. This further resulted in a dataset of 135 proteins with essential function and no homology to human.
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spelling pubmed-29517182010-10-25 Dataset of potential targets for Mycobacterium tuberculosis H37Rv through comparative genome analysis Asif, Siddiqui M Asad, Amir Faizan, Ahmad Anjali, Malik S Arvind, Arya Neelesh, Kapoor Hirdesh, Kumar Sanjay, Kumar Bioinformation Hypothesis Mycobacterium tuberculosis is the causative agent of the disease, tuberculosis and H37Rv is the most studied clinical strain. We use comparative genome analysis of Mycobacterium tuberculosis H37Rv and human for the identification of potential targets dataset. We used DEG (Database of Essential Genes) to identify essential genes in the H37Rv strain. The analysis shows that 628 of the 3989 genes in Mycobacterium tuberculosis H37Rv were found to be essential of which 324 genes lack similarity to the human genome. Subsequently hypothetical proteins were removed through manual curation. This further resulted in a dataset of 135 proteins with essential function and no homology to human. Biomedical Informatics Publishing Group 2009-12-31 /pmc/articles/PMC2951718/ /pubmed/20975918 Text en © 2009 Biomedical Informatics Publishing Group This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited.
spellingShingle Hypothesis
Asif, Siddiqui M
Asad, Amir
Faizan, Ahmad
Anjali, Malik S
Arvind, Arya
Neelesh, Kapoor
Hirdesh, Kumar
Sanjay, Kumar
Dataset of potential targets for Mycobacterium tuberculosis H37Rv through comparative genome analysis
title Dataset of potential targets for Mycobacterium tuberculosis H37Rv through comparative genome analysis
title_full Dataset of potential targets for Mycobacterium tuberculosis H37Rv through comparative genome analysis
title_fullStr Dataset of potential targets for Mycobacterium tuberculosis H37Rv through comparative genome analysis
title_full_unstemmed Dataset of potential targets for Mycobacterium tuberculosis H37Rv through comparative genome analysis
title_short Dataset of potential targets for Mycobacterium tuberculosis H37Rv through comparative genome analysis
title_sort dataset of potential targets for mycobacterium tuberculosis h37rv through comparative genome analysis
topic Hypothesis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2951718/
https://www.ncbi.nlm.nih.gov/pubmed/20975918
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