Your browser doesn't support javascript.
loading
Structural Prediction and Mutational Analysis of Rv3906c Gene of Mycobacterium tuberculosis H37Rv to Determine Its Essentiality in Survival.
Beg, Md Amjad; Thakur, Sonu Chand; Meena, Laxman S.
Afiliação
  • Beg MA; Centre for Interdisciplinary Research in Basic Science, Jamia Millia Islamia, Jamia Nagar, New Delhi 110025, India.
  • Shivangi; CSIR-Institute of Genomics and Integrative Biology, Mall Road, Delhi 110007, India.
  • Thakur SC; CSIR-Institute of Genomics and Integrative Biology, Mall Road, Delhi 110007, India.
  • Meena LS; Centre for Interdisciplinary Research in Basic Science, Jamia Millia Islamia, Jamia Nagar, New Delhi 110025, India.
Adv Bioinformatics ; 2018: 6152014, 2018.
Article em En | MEDLINE | ID: mdl-30186322
ABSTRACT
The emergence of tuberculosis is at the peak; therefore to station it at its lower level we hereby try bioinformatics approach against Mycobacterium tuberculosis [M. tuberculosis] pathogenesis. Rv3906c is a conserved hypothetical gene of M. tuberculosis and contains many GTP binding protein motif DXXG which demonstrate that this gene might be processed in a GTP binding or in GTP hydrolyzing manner. This gene shows interaction with its adjacent genes as well as pcnA which is a polymerase and localized in the extracellular region and found to be a soluble protein. Rv3906c has binding pockets for calcium atom at various positions which prove that calcium might have some role during the process of this gene. GTP binding protein motif DXXG is present in various positions and calcium binds at this site with a C-score of 0.25. Mutational analysis on this motif shows the large decrease of stability after mutation of aspartate residue with glycine. Stress conditions like pH and temperature also change stability of the protein. A decrease in stability at this position might play a role in inhibition of survival of the pathogen. These computational studies of this gene might be a successful step towards drug development against tuberculosis.

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Adv Bioinformatics Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Índia

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Adv Bioinformatics Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Índia