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Comparative Functional Genomics Studies for Understanding the Hypothetical Proteins in Mycobacterium tuberculosis KZN 1435

by Swapnil Sanmukh, Sumita Goswami, Sandhya Swaminathan, Waman Paunikar
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 60 - Number 1
Year of Publication: 2012
Authors: Swapnil Sanmukh, Sumita Goswami, Sandhya Swaminathan, Waman Paunikar
10.5120/9653-3943

Swapnil Sanmukh, Sumita Goswami, Sandhya Swaminathan, Waman Paunikar . Comparative Functional Genomics Studies for Understanding the Hypothetical Proteins in Mycobacterium tuberculosis KZN 1435. International Journal of Computer Applications. 60, 1 ( December 2012), 1-3. DOI=10.5120/9653-3943

@article{ 10.5120/9653-3943,
author = { Swapnil Sanmukh, Sumita Goswami, Sandhya Swaminathan, Waman Paunikar },
title = { Comparative Functional Genomics Studies for Understanding the Hypothetical Proteins in Mycobacterium tuberculosis KZN 1435 },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 60 },
number = { 1 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 1-3 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume60/number1/9653-3943/ },
doi = { 10.5120/9653-3943 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:05:27.403444+05:30
%A Swapnil Sanmukh
%A Sumita Goswami
%A Sandhya Swaminathan
%A Waman Paunikar
%T Comparative Functional Genomics Studies for Understanding the Hypothetical Proteins in Mycobacterium tuberculosis KZN 1435
%J International Journal of Computer Applications
%@ 0975-8887
%V 60
%N 1
%P 1-3
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The prediction for the unknown proteins from Mycobacterium tuberculosis KZN 1435 were carried out for characterization of the proteins in their respective families. In Mycobacterium tuberculosis KZN 1435 out of 1560 genes for hypothetical proteins, functions were predicted for 1221 hypothetical protein whereas, structures for 803 unknown proteins were revealed. The Bioinformatics web tools like CDD-BLAST, INTERPROSCAN, PFAM and COGs were used for the prediction of functions in the proteins by searching protein databases for the presence of conserved domains; whereas, tertiary structures were constructed using PS2 Server-Protein Structure Prediction server. This study was helpful in understanding functional characteristics of hypothetical proteins in Mycobacterium tuberculosis KZN 1435 as well as their role in the life cycle of the bacterium.

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Index Terms

Computer Science
Information Sciences

Keywords

Unknown proteins Bioinformatics web tools protein databases tertiary structures functional characteristics

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