Garg, Aarti and Tewari, Rupinder and Raghava, G.P.S. (2010) KiDoQ: using docking based energy scores to develop ligand based model for predicting antibacterials. BMC bioinformatics, 11. p. 125. ISSN 1471-2105
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Official URL: http://www.biomedcentral.com/content/pdf/1471-2105...
Abstract
Our results suggests that ligand-receptor binding interactions for DHDPS employing QSAR modeling seems to be a promising approach for prediction of antibacterial agents. To serve the experimentalist to develop novel/potent inhibitors, a webserver "KiDoQ" has been developed http://crdd.osdd.net/raghava/kidoq, which allows the prediction of Ki value of a new ligand molecule against DHDPS.
| Item Type: | Article |
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| 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 19:30 |
| Last Modified: | 08 Dec 2011 19:30 |
| URI: | http://crdd.osdd.net/open/id/eprint/528 |
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