Computational Annotation for Hypothetical Proteins
of Mycobacterium Tuberculosis |
S.Anandakumar and P.Shanmughavel1* |
| 1Computational Biology and Bioinformatics Laboratory,
Department of Bioinformatics, Bharathiar University,
Coimbatore – 641046, TamilNadu, India |
| *Corresponding author: |
Dr. P. Shanmughavel,
E-mail: shanvel_99@yahoo.com |
|
| Received August 28, 2008; Accepted November 10, 2008; Published December 26, 2008 |
| Citation: Anandakumar S, Shanmughavel P (2008) Computational Annotation for Hypothetical Proteins of Mycobacterium Tuberculosis. J Comput Sci Syst Biol 1: 050-062. doi:10.4172/jcsb.1000004 |
| Copyright: ©2008 Anandakumar S, etal. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
| Abstract |
There is rising death of humans worldwide by reason of tuberculosis. The current sequencing of the Mycobacterium
tuberculosis genome holds assure for the development of new vaccines and the design of new drugs. In
this view, the functions prediction of genomic sequences for hypothetical proteins will invigorate our knowledge
with reference to the identification of new drugs for tuberculosis. There are various function prediction methods
available based on the on the assumption. The process accurate annotation for genes in newly sequenced genomes
currently has been based on sequence similarity. In this work about 250 hypothetical proteins of Mycobacterium
tuberculosis taken functions were predicted using Bioinformatics web tools, BLAST, INTERPROSCAN,
PFAM and COGs. |
|
|
|