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Title

MTB-PCDB: Mycobacterium tuberculosis proteome comparison database


 

Authors

Lingaraja Jena, Gauri Wankhade, Satish Kumar, Bhaskar Chinnaiah Harinath*
 

Affiliation

Bioinformatics Centre, JB Tropical Disease Research Centre, Mahatma Gandhi Institute of Medical Sciences, Sevagram (Wardha) 442102, Maharashtra, India

 

Email

bc_harinath@yahoo.com; *Corresponding author

Phone

+91 7152 - 284341- 284355

Fax (07152) 284038

Article Type

Database

 

Date

Received March 09, 2011; Accepted March 16, 2011; Published April 22, 2011

 

Abstract

The Mycobacterium tuberculosis Proteome Comparison Database (MTB-PCDB) is an online database providing integrated access to proteome sequence comparison data for five strains of Mycobacterium tuberculosis (H37Rv, H37Ra, CDC 1551, F11 and KZN 1435) sequenced completely so far. MTB-PCDB currently hosts 40252 protein sequence comparison data obtained through inter-strain proteome comparison of five different strains of MTB. 2373 proteins were found to be identical in all 5 strains using MTB H37Rv as reference strain. To enable wide use of this data, MTB-PCDB provides a set of tools for searching, browsing, analyzing and downloading the data. By bringing together, M. tuberculosis proteome comparison among virulent & avirulent strains and also drug susceptible & drug resistance strains MTB-PCDB provides a unique discovery platform for comparative proteomics among these strains which may give insights into the discovery & development of TB drugs, vaccines and biomarkers.
 

Keywords

proteome comparison, tuberculosis, proteomic variation, virulence, drug resistance

Availability

http://www.bicjbtdrc-mgims.in/MTB-PCDB/

 

Citation

Jena et al. Bioinformation 6(3): 131-133 (2011)

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.