HNHDb: a database on pattern based classification of HNH domains reveals functional relevance of sequence patterns and domain associations

Alaguraj Veluchamy; Sujitha Mary; Vishal Acharya; Preethi Mehta; Taru Deva; Sankaran Krishnaswamy

doi:10.6026/97320630004080

HNHDb: a database on pattern based classification of HNH domains reveals functional relevance of sequence patterns and domain associations

Bioinformation. 2009 Sep 6;4(2):80-3. doi: 10.6026/97320630004080.

Authors

Alaguraj Veluchamy¹, Sujitha Mary, Vishal Acharya, Preethi Mehta, Taru Deva, Sankaran Krishnaswamy

Affiliation

¹ Center of Excellence in Bioinformatics, School of biotechnology, Madurai Kamaraj University, Madurai, India. alaguraj@mkustrbioinfo.in

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.