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Prediction and classification of aminoacyl tRNA synthetases using PROSITE domains.

DIR@IMTECH: CSIR-Institute of Microbial Technology

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Title Prediction and classification of aminoacyl tRNA synthetases using PROSITE domains.
 
Creator Panwar, Bharat
Raghava, G.P.S.
 
Subject QH301 Biology
 
Description 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/.
 
Publisher BIomedcentral
 
Date 2010
 
Type Article
PeerReviewed
 
Format application/pdf
 
Identifier http://crdd.osdd.net/open/494/1/raghava10.8.pdf
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
 
Relation http://www.biomedcentral.com/content/pdf/1471-2164-11-507.pdf
http://crdd.osdd.net/open/494/