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KiDoQ: using docking based energy scores to develop ligand based model for predicting antibacterials.

DIR@IMTECH: CSIR-Institute of Microbial Technology

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Title KiDoQ: using docking based energy scores to develop ligand based model for predicting antibacterials.
 
Creator Garg, Aarti
Tewari, Rupinder
Raghava, G.P.S.
 
Subject QH301 Biology
 
Description 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.
 
Publisher BIomedcentral
 
Date 2010
 
Type Article
PeerReviewed
 
Format application/pdf
 
Identifier http://crdd.osdd.net/open/528/1/raghava10.5.pdf
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
 
Relation http://www.biomedcentral.com/content/pdf/1471-2105-11-125.pdf
http://crdd.osdd.net/open/528/