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Pseudoreceptor models in drug design: bridging ligand- and receptor-based virtual screening

✍ Scribed by Tanrikulu, Yusuf; Schneider, Gisbert

Book ID
109950591
Publisher
Nature Publishing Group
Year
2008
Tongue
English
Weight
892 KB
Volume
7
Category
Article
ISSN
1474-1776

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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 Ξ²~2~‐adrenergic receptor, a G protein‐coupled receptor (GPCR). We also devised and evaluated a number of consensus mode