Prediction and classification of aminoacyl tRNA synthetases using PROSITE domains.

Panwar, Bharat and Raghava, G.P.S. (2010) Prediction and classification of aminoacyl tRNA synthetases using PROSITE domains. BMC genomics, 11. p. 507. ISSN 1471-2164

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Abstract

We have analyzed protein sequences of aaRSs (class-1 and class-2) and non-aaRSs and identified interesting patterns. The high accuracy achieved by our SVM models using selected dipeptide composition demonstrates that certain types of dipeptide are preferred in aaRSs. We were able to identify PROSITE domains that are preferred in aaRSs and their classes, providing interesting insights into tRNA synthetases. The method developed in this study will be useful for researchers studying aaRS enzymes and tRNA biology. The web-server based on the above study, is available at http://www.imtech.res.in/raghava/icaars/.

Item Type: Article
Additional Information: OPEN ACCESS
Subjects: Q Science > QH Natural history > QH301 Biology
QH301 Biology
Depositing User: Dr. K.P.S.Sengar
Date Deposited: 08 Dec 2011 19:09
Last Modified: 08 Dec 2011 19:09
URI: http://crdd.osdd.net/open/id/eprint/494

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