Literature DB >> 20676709

Study of interactions between Mycobacterium tuberculosis proteins: SigK and anti-SigK.

Vasavi Malkhed1, Bargavi Gudlur, Bhargavi Kondagari, Ramasree Dulapalli, Uma Vuruputuri.   

Abstract

The development of novel antituberculosis therapeutic molecules is a global health concern. Complex gene expression in Mycobacterium tuberculosis is mediated mainly by various sigma factors. The SigK protein binds to RNA polymerase, facilitating the expression of genes encoding the antigenic proteins mpt70 and mpt83. The anti-SigK protein is a negative regulator of SigK and inhibits the initiation of transcription. This study focuses on the interactions between SigK and the N-terminal domain of anti-SigK. The 3D structures of SigK (187 residues) and the N-terminal domain of anti-SigK (92 residues) are elucidated, using the crystal structures of the A and B chains of sigma E and anti-sigma ChrR of Rhodobacter spheroides (PDB code: 2Q1Z) as templates, respectively. Molecular dynamic simulations were performed for the SigK and anti-SigK proteins to refine their structures. The predicted active sites of SigK and anti-SigK and the results of protein-protein docking studies revealed the residues that are important for binding. The models generated and the binding site residues identified in this work throw new light on the interactions between the sigma K and anti-sigma K proteins, which should further aid the modulation of antigenic protein production in Mycobacterium tuberculosis.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20676709     DOI: 10.1007/s00894-010-0792-7

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  34 in total

1.  Basic charge clusters and predictions of membrane protein topology.

Authors:  Davor Juretić; Larisa Zoranić; Damir Zucić
Journal:  J Chem Inf Comput Sci       Date:  2002 May-Jun

2.  ZDOCK: an initial-stage protein-docking algorithm.

Authors:  Rong Chen; Li Li; Zhiping Weng
Journal:  Proteins       Date:  2003-07-01

3.  Q-SiteFinder: an energy-based method for the prediction of protein-ligand binding sites.

Authors:  Alasdair T R Laurie; Richard M Jackson
Journal:  Bioinformatics       Date:  2005-02-08       Impact factor: 6.937

Review 4.  Combating bacteria and drug resistance by inhibiting mechanisms of persistence and adaptation.

Authors:  Peter A Smith; Floyd E Romesberg
Journal:  Nat Chem Biol       Date:  2007-09       Impact factor: 15.040

5.  Protein structure prediction on the Web: a case study using the Phyre server.

Authors:  Lawrence A Kelley; Michael J E Sternberg
Journal:  Nat Protoc       Date:  2009       Impact factor: 13.491

6.  Anatomy of protein pockets and cavities: measurement of binding site geometry and implications for ligand design.

Authors:  J Liang; H Edelsbrunner; C Woodward
Journal:  Protein Sci       Date:  1998-09       Impact factor: 6.725

7.  Evaluation of comparative protein modeling by MODELLER.

Authors:  A Sali; L Potterton; F Yuan; H van Vlijmen; M Karplus
Journal:  Proteins       Date:  1995-11

8.  Mutations in Mycobacterium tuberculosis Rv0444c, the gene encoding anti-SigK, explain high level expression of MPB70 and MPB83 in Mycobacterium bovis.

Authors:  Battouli Saïd-Salim; Serge Mostowy; Arnold S Kristof; Marcel A Behr
Journal:  Mol Microbiol       Date:  2006-10-25       Impact factor: 3.501

Review 9.  Patient adherence to tuberculosis treatment: a systematic review of qualitative research.

Authors:  Salla A Munro; Simon A Lewin; Helen J Smith; Mark E Engel; Atle Fretheim; Jimmy Volmink
Journal:  PLoS Med       Date:  2007-07-24       Impact factor: 11.069

10.  High temperature unfolding of Bacillus anthracis amidase-03 by molecular dynamics simulations.

Authors:  Ravi Datta Sharma; Andrew M Lynn; Pradeep Kumar Sharma; Safdar Jawaid
Journal:  Bioinformation       Date:  2009-07-27
View more
  1 in total

1.  A novel method of identifying Mycobacterium tuberculosis Beijing strains by detecting SNPs in Rv0444c and Rv2629.

Authors:  Lu Zhang; Wenxi Xu; Zhenling Cui; Yanyan Liu; Wenjie Wang; Jie Wang; Ding Hu; Dingqian Liu; Honghai Wang
Journal:  Curr Microbiol       Date:  2013-11-12       Impact factor: 2.188

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.