ICAR Research Data Repository for Knowledge Management
KiDoQ: using docking based energy scores to develop ligand based model for predicting antibacterials.
DIR@IMTECH: CSIR-Institute of Microbial Technology
View Archive Info| Field | Value | |
| 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/ |
|