G protein-coupled receptors: In silico, drug discovery in 3D

Oren M. Becker*, Yael Marantz, Sharon Shacham, Boaz Inbal, Alexander Heifetz, Ori Kalid, Shay Bar-Haim, Dora Warshaviak, Merav Fichman, Silvia Noiman

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

151 Scopus citations

Abstract

The application of structure-based in silico methods to drug discovery is still considered a major challenge, especially when the x-ray structure of the target protein is unknown. Such is the case with human G protein-coupled receptors (GPCRs), one of the most important families of drug targets, where in the absence of x-ray structures, one has to rely on in silico 3D models. We report repeated success in using ab initio in silico GPCR models, generated by the PREDICT method, for blind in silico screening when applied to a set of five different GPCR drug targets. More than 100,000 compounds were typically screened in silico for each target, leading to a selection of <100 "virtual hit" compounds to be tested in the lab. In vitro binding assays of the selected compounds confirm high hit rates, of 12-21% (full dose-response curves, Ki < 5 μM). In most cases, the best hit was a novel compound (New Chemical Entity) in the 1- to 100-nM range, with very promising pharmacological properties, as measured by a variety of in vitro and in vivo assays. These assays validated the quality of the hits as lead compounds for drug discovery. The results demonstrate the usefulness and robustness of ab initio in silico 3D models and of in silico screening for GPCR drug discovery.

Original languageAmerican English
Pages (from-to)11304-11309
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume101
Issue number31
DOIs
StatePublished - 3 Aug 2004
Externally publishedYes

Keywords

  • In silico screening
  • Modeling
  • Structure-based

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