Issue 1, 2013

Identification of false positives in “HTS hits to lead”: The application of Bayesian models in HTS triage to rapidly deliver a series of selective TRPV4 antagonists

Abstract

Herein, we describe the discovery and optimisation of a series of potent and selective TRPV4 antagonists. The application of a variety of computational techniques (including Bayesian modelling) at the HTS triage stage enabled the early deprioritisation of likely frequent hitters. The use of methods to positively prioritise compounds for follow-up screening allowed the rapid identification of a number of interesting TRPV4 antagonist series. The hit-to-lead efforts in one such series, the hydroxypiperidines, will be described.

Graphical abstract: Identification of false positives in “HTS hits to lead”: The application of Bayesian models in HTS triage to rapidly deliver a series of selective TRPV4 antagonists

Article information

Article type
Concise Article
Submitted
29 Aug 2012
Accepted
22 Oct 2012
First published
23 Oct 2012

Med. Chem. Commun., 2013,4, 244-251

Identification of false positives in “HTS hits to lead”: The application of Bayesian models in HTS triage to rapidly deliver a series of selective TRPV4 antagonists

S. E. Skerratt, J. E. J. Mills and J. Mistry, Med. Chem. Commun., 2013, 4, 244 DOI: 10.1039/C2MD20259J

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