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ABSTRACT

in silico Method for the Identification of Mycobacterial sp. Potential Drug Targets

by Ashutosh Singh1, Shruti Mishra2, Dhwani Raghav1, Vinay Sharma1

Faculty of Life Sciences, Department of Bio techgnology, Banasthali University, Banasthali, Rajasthan, India. Email: ashutosh.bio@gmail.com
Research Associate, Biobase, Banglore, India.

The International Conference on Computational & Experimental Engineering and Sciences 2008, 6(2), 119-124. https://doi.org/10.3970/icces.2008.006.119

Abstract

Drug resistance has increased the pace of war against the ever-growing challenge of mycobacterial infections particularly with the growing menace of tuberculosis (TB).Previous studies reported several essential and virulent genes of mycobacterium like virS gene and mymA operon[1] through experimental approaches. However, Post genomic approach applied for the identification of targets for tuberculosis which includes the comparison of Mycobacterium tuberculosis CDC1551 proteome against database of essential genes and proteome of Homo sapiens. A total of approx 4000 proteins were studied and compared and 19 proteins were found to possess potentiality to call as Targets.

Cite This Article

APA Style
Singh, A., Mishra, S., Raghav, D., shanker, A., Sharma, V. (2008). In silico method for the identification of mycobacterial sp. potential drug targets. The International Conference on Computational & Experimental Engineering and Sciences, 6(2), 119-124. https://doi.org/10.3970/icces.2008.006.119
Vancouver Style
Singh A, Mishra S, Raghav D, shanker A, Sharma V. In silico method for the identification of mycobacterial sp. potential drug targets. Int Conf Comput Exp Eng Sciences . 2008;6(2):119-124 https://doi.org/10.3970/icces.2008.006.119
IEEE Style
A. Singh, S. Mishra, D. Raghav, A. shanker, and V. Sharma, “in silico Method for the Identification of Mycobacterial sp. Potential Drug Targets,” Int. Conf. Comput. Exp. Eng. Sciences , vol. 6, no. 2, pp. 119-124, 2008. https://doi.org/10.3970/icces.2008.006.119



cc Copyright © 2008 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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