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A web server for predicting inhibitors against bacterial target GlmU protein.

IR@IMTECH: CSIR-Institute of Microbial Technology, Chandigarh

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Title A web server for predicting inhibitors against bacterial target GlmU protein.
 
Creator Singla, Deepak
Anurag, Meenakshi
Dash, Debasis
Raghava, G.P.S.
 
Subject RM Therapeutics. Pharmacology
 
Description These results demonstrate that docking energies can be used as descriptors for developing QSAR models. The current work suggests that docking energies based descriptors could be used along with commonly used molecular descriptors for predicting inhibitory activity (IC50) of molecules against GlmU. Based on this study an open source platform, http://crdd.osdd.net/raghava/gdoq, has been developed for predicting inhibitors GlmU.
 
Publisher Biomedcentral
 
Date 2011-07-06
 
Type Article
PeerReviewed
 
Format application/pdf
 
Identifier http://crdd.osdd.net/open/460/1/raghava11.1
Singla, Deepak and Anurag, Meenakshi and Dash, Debasis and Raghava, G.P.S. (2011) A web server for predicting inhibitors against bacterial target GlmU protein. BMC pharmacology, 11. p. 5. ISSN 1471-2210
 
Relation http://www.biomedcentral.com/1471-2210/11/5
http://crdd.osdd.net/open/460/