ICAR Research Data Repository for Knowledge Management
Prediction and classification of aminoacyl tRNA synthetases using PROSITE domains.
DIR@IMTECH: CSIR-Institute of Microbial Technology
View Archive Info| Field | Value | |
| Title |
Prediction and classification of aminoacyl tRNA synthetases using PROSITE domains.
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| Creator |
Panwar, Bharat
Raghava, G.P.S. |
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| Subject |
QH301 Biology
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| 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/.
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| Publisher |
BIomedcentral
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| Date |
2010
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| Type |
Article
PeerReviewed |
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| Format |
application/pdf
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| 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 |
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| Relation |
http://www.biomedcentral.com/content/pdf/1471-2164-11-507.pdf
http://crdd.osdd.net/open/494/ |
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