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2D QSAR Consensus Prediction for High-Throughput Virtual Screening. An Application to COX-2 Inhibition Modeling and Screening of the NCI Database

✍ Scribed by Baurin, N.; Mozziconacci, J.-C.; Arnoult, E.; Chavatte, P.; Marot, C.; Morin-Allory, L.


Book ID
118160112
Publisher
American Chemical Society
Year
2004
Tongue
English
Weight
141 KB
Volume
44
Category
Article
ISSN
0095-2338

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## Abstract In this study, we evaluated the applicability of ligand‐based and structure‐based models to quantitative affinity predictions and virtual screenings for ligands of the β~2~‐adrenergic receptor, a G protein‐coupled receptor (GPCR). We also devised and evaluated a number of consensus mode