Informatics resources for tuberculosis – Towards drug discovery

Summary Integration of biological data on gene sequence, genome annotation, gene expression, metabolic pathways, protein structure, drug target prioritization and selection, has resulted in several online bioinformatics databases and tools for Mycobacterium tuberculosis . Alongside there has been a...

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Bibliographic Details
Published in:Tuberculosis (Edinburgh, Scotland) Scotland), 2012-03, Vol.92 (2), p.133-138
Main Authors: Sundaramurthi, Jagadish Chandrabose, Brindha, S, Reddy, T.B.K, Hanna, Luke Elizabeth
Format: Article
Language:English
Subjects:
Antitubercular Agents - pharmacology
Bioinformatics
Cheminformatics
Computational Biology - methods
Data processing
Databases, Factual
Drug discovery
Drug Discovery - methods
Drug Resistance, Multiple, Bacterial
Drugs
Gene expression
Gene Regulatory Networks
Genomes
Genomics
Humans
Infectious Disease
Infectious diseases
Informatics
Integration
Internet
Metabolic pathways
Mycobacterium tuberculosis
Mycobacterium tuberculosis - drug effects
Nucleotide sequence
Protein structure
Pulmonary/Respiratory
Reviews
Tuberculosis
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Summary:Summary Integration of biological data on gene sequence, genome annotation, gene expression, metabolic pathways, protein structure, drug target prioritization and selection, has resulted in several online bioinformatics databases and tools for Mycobacterium tuberculosis . Alongside there has been a growth in the list of cheminformatics databases for small molecules and tools to facilitate drug discovery. In spite of these efforts there is a noticeable lag in the drug discovery process which is an urgent need in the case of emerging and re-emerging infectious diseases. For example, more than 25 online databases are available freely for tuberculosis and yet these resources have not been exploited optimally. Informatics-centered drug discovery based on the integration and analysis of both bioinformatics and cheminformatics data could fill in the gap and help to accelerate the process of drug discovery. This article aims to review the current standing of developments in tuberculosis-bioinformatics and highlight areas where integration of existing resources could lead to acceleration of drug discovery against tuberculosis. Such an approach could be adapted for other diseases as well.
ISSN:1472-9792
1873-281X
DOI:10.1016/j.tube.2011.08.006