A web server for predicting inhibitors against bacterial target GlmU protein.
DIR@IMTECH: CSIR-Institute of Microbial Technology
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Title |
A web server for predicting inhibitors against bacterial target GlmU protein.
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Creator |
Singla, Deepak
Anurag, Meenakshi Dash, Debasis Raghava, G.P.S. |
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Subject |
QR Microbiology
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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.
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Publisher |
Biomedcentral
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Date |
2011
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Type |
Article
PeerReviewed |
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Format |
application/pdf
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Identifier |
http://crdd.osdd.net/open/5/1/raghava2011.pdf
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 |
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Relation |
http://www.biomedcentral.com/1471-2210/11/5
http://crdd.osdd.net/open/5/ |
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