Literature DB >> 23062111

Shaping a screening file for maximal lead discovery efficiency and effectiveness: elimination of molecular redundancy.

Gregory A Bakken1, Andrew S Bell, Markus Boehm, Jeremy R Everett, Rosalia Gonzales, David Hepworth, Jacquelyn L Klug-McLeod, Jeremy Lanfear, Jens Loesel, John Mathias, Terence P Wood.   

Abstract

High Throughput Screening (HTS) is a successful strategy for finding hits and leads that have the opportunity to be converted into drugs. In this paper we highlight novel computational methods used to select compounds to build a new screening file at Pfizer and the analytical methods we used to assess their quality. We also introduce the novel concept of molecular redundancy to help decide on the density of compounds required in any region of chemical space in order to be confident of running successful HTS campaigns.

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Year:  2012        PMID: 23062111     DOI: 10.1021/ci300372a

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  9 in total

1.  Towards a hit for every target.

Authors:  Steve Rees; Philip Gribbon; Karen Birmingham; William P Janzen; Garry Pairaudeau
Journal:  Nat Rev Drug Discov       Date:  2015-11-20       Impact factor: 84.694

2.  Plate-based diversity subset screening: an efficient paradigm for high throughput screening of a large screening file.

Authors:  Andrew S Bell; Joseph Bradley; Jeremy R Everett; Michelle Knight; Jens Loesel; John Mathias; David McLoughlin; James Mills; Robert E Sharp; Christine Williams; Terence P Wood
Journal:  Mol Divers       Date:  2013-04-05       Impact factor: 2.943

3.  Comparative Analyses of Medicinal Chemistry and Cheminformatics Filters with Accessible Implementation in Konstanz Information Miner (KNIME).

Authors:  Sebastjan Kralj; Marko Jukič; Urban Bren
Journal:  Int J Mol Sci       Date:  2022-05-20       Impact factor: 6.208

Review 4.  The essential roles of chemistry in high-throughput screening triage.

Authors:  Jayme L Dahlin; Michael A Walters
Journal:  Future Med Chem       Date:  2014-07       Impact factor: 3.808

5.  Plate-based diversity subset screening generation 2: an improved paradigm for high-throughput screening of large compound files.

Authors:  Andrew S Bell; Joseph Bradley; Jeremy R Everett; Jens Loesel; David McLoughlin; James Mills; Marie-Claire Peakman; Robert E Sharp; Christine Williams; Hongyao Zhu
Journal:  Mol Divers       Date:  2016-09-08       Impact factor: 2.943

6.  The potential use of single-particle electron microscopy as a tool for structure-based inhibitor design.

Authors:  S Rawson; M J McPhillie; R M Johnson; C W G Fishwick; S P Muench
Journal:  Acta Crystallogr D Struct Biol       Date:  2017-04-20       Impact factor: 7.652

7.  Impaired β-arrestin recruitment and reduced desensitization by non-catechol agonists of the D1 dopamine receptor.

Authors:  David L Gray; John A Allen; Scot Mente; Rebecca E O'Connor; George J DeMarco; Ivan Efremov; Patrick Tierney; Dmitri Volfson; Jennifer Davoren; Edward Guilmette; Michelle Salafia; Rouba Kozak; Michael D Ehlers
Journal:  Nat Commun       Date:  2018-02-14       Impact factor: 14.919

8.  Bayesian semi-supervised learning for uncertainty-calibrated prediction of molecular properties and active learning.

Authors:  Yao Zhang; Alpha A Lee
Journal:  Chem Sci       Date:  2019-07-10       Impact factor: 9.825

Review 9.  Commercial SARS-CoV-2 Targeted, Protease Inhibitor Focused and Protein-Protein Interaction Inhibitor Focused Molecular Libraries for Virtual Screening and Drug Design.

Authors:  Sebastjan Kralj; Marko Jukič; Urban Bren
Journal:  Int J Mol Sci       Date:  2021-12-30       Impact factor: 5.923

  9 in total

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