|
Title
|
|
HNHDb: A database on pattern based classification of HNH domains reveals functional relevance of sequence patterns and domain associations.
|
|
Authors
|
Alaguraj Veluchamy*, Sujitha Mary, Vishal Acharya, Preeti Mehta, Taru Deva, Sankaran Krishnaswamy
| |
|
Affiliation
|
Center of Excellence in Bioinformatics, School of biotechnology, Madurai Kamaraj University, Madurai, India
| |
|
|
||
|
Article Type
|
Database | |
|
Date
|
Received June 24, 2009; Accepted July 26, 2009; Published September 06, 2009 | |
|
Abstract |
The HNH Database is a collection and sequence-based classification of HNH domain proteins. The database contains about 1913 HNH domain containing proteins, and is classified into 10 subsets based on the sequence pattern. Each of these subsets has unique signature sequences. We have shown a correlation between the subset combination and their domain association and function. Functional divergence of this domain may be due to the combination of these conserved patterns and the large variations in the non-conserved regions. HNHDb is freely available at http://bicmku.in:8081/hnh.
| |
|
Keywords
|
HNH domains; HNHDb; sequence classification | |
|
Citation
|
Veluchamy et al., Bioinformation 4(2): 80-83 (2009) | |
|
Edited by
|
P. Kangueane
| |
|
ISSN
|
0973-2063
| |
|
Publisher
|
| |
|
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.
|