Literature DB >> 19396735

Pooling in high-throughput drug screening.

Raghunandan M Kainkaryam1, Peter J Woolf.   

Abstract

Pooling in HTS refers to the act of testing mixtures of compounds in a primary screen to accurately identify hits for secondary screening. The reduction in the number of tests needed to screen a compound library by pooling can also be extended to achieve much-needed error tolerance in HTS. Despite the success of HTS in other biological experiments, pooling in high-throughput drug screening has been a controversial and often marginalized paradigm. At first appearance, pooling appears to promise gains from reduced effort, or possibly could create more problems than solutions. However, this article demonstrates that pooling is a practical and necessary part of HTS: discussions include the rationale for pooling compounds in HTS, a unifying view of pooling design theory, a review of past attempts at pooling and their success, and recent advances in the field.

Entities:  

Mesh:

Year:  2009        PMID: 19396735      PMCID: PMC3204799     

Source DB:  PubMed          Journal:  Curr Opin Drug Discov Devel        ISSN: 1367-6733


  15 in total

1.  Strategic pooling of compounds for high-throughput screening.

Authors:  M Hann; B Hudson; X Lewell; R Lifely; L Miller; N Ramsden
Journal:  J Chem Inf Comput Sci       Date:  1999 Sep-Oct

2.  Drug screening--beyond the bottleneck.

Authors:  A Dove
Journal:  Nat Biotechnol       Date:  1999-09       Impact factor: 54.908

Review 3.  Designing screens: how to make your hits a hit.

Authors:  W Patrick Walters; Mark Namchuk
Journal:  Nat Rev Drug Discov       Date:  2003-04       Impact factor: 84.694

4.  Statistical evaluation of a self-deconvoluting matrix strategy for high-throughput screening of the CXCR3 receptor.

Authors:  Sandrine Ferrand; Andres Schmid; Caroline Engeloch; J Fraser Glickman
Journal:  Assay Drug Dev Technol       Date:  2005-08       Impact factor: 1.738

5.  Interpool: interpreting smart-pooling results.

Authors:  Nicolas Thierry-Mieg; Gilles Bailly
Journal:  Bioinformatics       Date:  2008-01-09       Impact factor: 6.937

6.  A positive detecting code and its decoding algorithm for DNA library screening.

Authors:  Hiroaki Uehara; Masakazu Jimbo
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2009 Oct-Dec       Impact factor: 3.710

7.  Deconvolution of combinatorial libraries for drug discovery: experimental comparison of pooling strategies.

Authors:  L Wilson-Lingardo; P W Davis; D J Ecker; N Hébert; O Acevedo; K Sprankle; T Brennan; L Schwarcz; S M Freier; J R Wyatt
Journal:  J Med Chem       Date:  1996-07-05       Impact factor: 7.446

8.  Evaluation of an orthogonal pooling strategy for rapid high-throughput screening of proteases.

Authors:  Nuzhat Motlekar; Scott L Diamond; Andrew D Napper
Journal:  Assay Drug Dev Technol       Date:  2008-06       Impact factor: 1.738

9.  Systematic discovery of multicomponent therapeutics.

Authors:  Alexis A Borisy; Peter J Elliott; Nicole W Hurst; Margaret S Lee; Joseph Lehar; E Roydon Price; George Serbedzija; Grant R Zimmermann; Michael A Foley; Brent R Stockwell; Curtis T Keith
Journal:  Proc Natl Acad Sci U S A       Date:  2003-06-10       Impact factor: 11.205

10.  A new pooling strategy for high-throughput screening: the Shifted Transversal Design.

Authors:  Nicolas Thierry-Mieg
Journal:  BMC Bioinformatics       Date:  2006-01-19       Impact factor: 3.169

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  16 in total

1.  Toward a Microparticle-Based System for Pooled Assays of Small Molecules in Cellular Contexts.

Authors:  Carrie E Yozwiak; Tal Hirschhorn; Brent R Stockwell
Journal:  ACS Chem Biol       Date:  2018-02-08       Impact factor: 5.100

2.  A cell-based phenotypic assay to identify cardioprotective agents.

Authors:  Stephanie Guo; Adam Olm-Shipman; Andrew Walters; William R Urciuoli; Stefanie Devito; Sergiy M Nadtochiy; Andrew P Wojtovich; Paul S Brookes
Journal:  Circ Res       Date:  2012-03-06       Impact factor: 17.367

3.  The objective function controversy for group testing: Much ado about nothing?

Authors:  Brianna D Hitt; Christopher R Bilder; Joshua M Tebbs; Christopher S McMahan
Journal:  Stat Med       Date:  2019-08-30       Impact factor: 2.373

4.  Use and implications of the harmonic mean model on mixtures for basic research and drug discovery.

Authors:  Radleigh G Santos; Marc A Giulianotti; Colette T Dooley; Clemencia Pinilla; Jon R Appel; Richard A Houghten
Journal:  ACS Comb Sci       Date:  2011-03-11       Impact factor: 3.784

5.  Drug screening strategy for human membrane proteins: from NMR protein backbone structure to in silica- and NMR-screened hits.

Authors:  Steffen Lindert; Innokentiy Maslennikov; Ellis J C Chiu; Levi C Pierce; J Andrew McCammon; Senyon Choe
Journal:  Biochem Biophys Res Commun       Date:  2014-02-10       Impact factor: 3.575

Review 6.  Chemical genomics for studying parasite gene function and interaction.

Authors:  Jian Li; Jing Yuan; Ken Chih-Chien Cheng; James Inglese; Xin-zhuan Su
Journal:  Trends Parasitol       Date:  2013-11-09

7.  An inverse small molecule screen to design a chemically defined medium supporting long-term growth of Drosophila cell lines.

Authors:  M Burnette; T Brito-Robinson; J Li; J Zartman
Journal:  Mol Biosyst       Date:  2014-10

8.  Group testing regression model estimation when case identification is a goal.

Authors:  Boan Zhang; Christopher R Bilder; Joshua M Tebbs
Journal:  Biom J       Date:  2013-02-08       Impact factor: 2.207

9.  Identification of sirtuin 5 inhibitors by ultrafast microchip electrophoresis using nanoliter volume samples.

Authors:  Erik D Guetschow; Surinder Kumar; David B Lombard; Robert T Kennedy
Journal:  Anal Bioanal Chem       Date:  2015-12-03       Impact factor: 4.142

10.  Multiplexed, high-throughput analysis of 3D microtissue suspensions.

Authors:  Alice A Chen; Gregory H Underhill; Sangeeta N Bhatia
Journal:  Integr Biol (Camb)       Date:  2010-09-01       Impact factor: 2.192

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