𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Ligand and Structure-Based Classification Models for Prediction of P-Glycoprotein Inhibitors

✍ Scribed by Klepsch, Freya; Vasanthanathan, Poongavanam; Ecker, Gerhard F.


Book ID
121222786
Publisher
American Chemical Society
Year
2014
Tongue
English
Weight
849 KB
Volume
54
Category
Article
ISSN
0095-2338

No coin nor oath required. For personal study only.


📜 SIMILAR VOLUMES


Impact of the Recent Mouse P-Glycoprotei
✍ Freya Klepsch; Gerhard F. Ecker 📂 Article 📅 2010 🏛 Wiley (John Wiley & Sons) 🌐 English ⚖ 944 KB

## Abstract P‐Glycoprotein (P‐gp), a transmembrane, ATP‐dependent drug efflux transporter, has attracted considerable interest both with respect to its role in tumour cell multidrug resistance and in absorption‐distribution and elimination of drugs. Although known since more than 30 years, the unde

Ligand and structure-based models for th
✍ Santiago Vilar; Joel Karpiak; Stefano Costanzi 📂 Article 📅 2009 🏛 John Wiley and Sons 🌐 English ⚖ 851 KB

## 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