Literature DB >> 19908840

Quantitative analyses of aggregation, autofluorescence, and reactivity artifacts in a screen for inhibitors of a thiol protease.

Ajit Jadhav1, Rafaela S Ferreira, Carleen Klumpp, Bryan T Mott, Christopher P Austin, James Inglese, Craig J Thomas, David J Maloney, Brian K Shoichet, Anton Simeonov.   

Abstract

The perceived and actual burden of false positives in high-throughput screening has received considerable attention; however, few studies exist on the contributions of distinct mechanisms of nonspecific effects like chemical reactivity, assay signal interference, and colloidal aggregation. Here, we analyze the outcome of a screen of 197861 diverse compounds in a concentration-response format against the cysteine protease cruzain, a target expected to be particularly sensitive to reactive compounds, and using an assay format with light detection in the short-wavelength region where significant compound autofluorescence is typically encountered. Approximately 1.9% of all compounds screened were detergent-sensitive inhibitors. The contribution from autofluorescence and compounds bearing reactive functionalities was dramatically lower: of all hits, only 1.8% were autofluorescent and 1.5% contained reactive or undesired functional groups. The distribution of false positives was relatively constant across library sources. The simple step of including detergent in the assay buffer suppressed the nonspecific effect of approximately 93% of the original hits.

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Year:  2010        PMID: 19908840      PMCID: PMC2992957          DOI: 10.1021/jm901070c

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  34 in total

1.  A common mechanism underlying promiscuous inhibitors from virtual and high-throughput screening.

Authors:  Susan L McGovern; Emilia Caselli; Nikolaus Grigorieff; Brian K Shoichet
Journal:  J Med Chem       Date:  2002-04-11       Impact factor: 7.446

2.  Potent second generation vinyl sulfonamide inhibitors of the trypanosomal cysteine protease cruzain.

Authors:  W R Roush; J Cheng; B Knapp-Reed; A Alvarez-Hernandez; J H McKerrow; E Hansell; J C Engel
Journal:  Bioorg Med Chem Lett       Date:  2001-10-22       Impact factor: 2.823

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.  A detergent-based assay for the detection of promiscuous inhibitors.

Authors:  Brian Y Feng; Brian K Shoichet
Journal:  Nat Protoc       Date:  2006       Impact factor: 13.491

5.  An empirical process for the design of high-throughput screening deck filters.

Authors:  Bradley C Pearce; Michael J Sofia; Andrew C Good; Dieter M Drexler; David A Stock
Journal:  J Chem Inf Model       Date:  2006 May-Jun       Impact factor: 4.956

6.  Three classes of glucocerebrosidase inhibitors identified by quantitative high-throughput screening are chaperone leads for Gaucher disease.

Authors:  Wei Zheng; Janak Padia; Daniel J Urban; Ajit Jadhav; Ozlem Goker-Alpan; Anton Simeonov; Ehud Goldin; Douglas Auld; Mary E LaMarca; James Inglese; Christopher P Austin; Ellen Sidransky
Journal:  Proc Natl Acad Sci U S A       Date:  2007-08-01       Impact factor: 11.205

7.  A high-throughput screen for aggregation-based inhibition in a large compound library.

Authors:  Brian Y Feng; Anton Simeonov; Ajit Jadhav; Kerim Babaoglu; James Inglese; Brian K Shoichet; Christopher P Austin
Journal:  J Med Chem       Date:  2007-04-21       Impact factor: 7.446

8.  The minimum significant ratio: a statistical parameter to characterize the reproducibility of potency estimates from concentration-response assays and estimation by replicate-experiment studies.

Authors:  Brian J Eastwood; Mark W Farmen; Philip W Iversen; Trelia J Craft; Jeffrey K Smallwood; Kim E Garbison; Neil W Delapp; Gerald F Smith
Journal:  J Biomol Screen       Date:  2006-02-20

9.  Compound Management for Quantitative High-Throughput Screening.

Authors:  Adam Yasgar; Paul Shinn; Ajit Jadhav; Douglas Auld; Sam Michael; Wei Zheng; Christopher P Austin; James Inglese; Anton Simeonov
Journal:  JALA Charlottesv Va       Date:  2008-04

10.  Isoquinoline-1,3,4-trione derivatives inactivate caspase-3 by generation of reactive oxygen species.

Authors:  Jun-Qing Du; Jian Wu; Hua-Jie Zhang; Ya-Hui Zhang; Bei-Ying Qiu; Fang Wu; Yi-Hua Chen; Jing-Ya Li; Fa-Jun Nan; Jian-Ping Ding; Jia Li
Journal:  J Biol Chem       Date:  2008-09-02       Impact factor: 5.157

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  63 in total

1.  The impact of data integrity on decision making in early lead discovery.

Authors:  Bernd Beck; Daniel Seeliger; Jan M Kriegl
Journal:  J Comput Aided Mol Des       Date:  2015-09-26       Impact factor: 3.686

2.  Post-HTS case report and structural alert: Promiscuous 4-aroyl-1,5-disubstituted-3-hydroxy-2H-pyrrol-2-one actives verified by ALARM NMR.

Authors:  Jayme L Dahlin; J Willem M Nissink; Subhashree Francis; Jessica M Strasser; Kristen John; Zhiguo Zhang; Michael A Walters
Journal:  Bioorg Med Chem Lett       Date:  2015-08-10       Impact factor: 2.823

3.  Substrate selection influences molecular recognition in a screen for lymphoid tyrosine phosphatase inhibitors.

Authors:  Rhushikesh A Kulkarni; Nadeem A Vellore; Matthew R Bliss; Stephanie M Stanford; Matthew D Falk; Nunzio Bottini; Riccardo Baron; Amy M Barrios
Journal:  Chembiochem       Date:  2013-08-16       Impact factor: 3.164

Review 4.  Docking Screens for Novel Ligands Conferring New Biology.

Authors:  John J Irwin; Brian K Shoichet
Journal:  J Med Chem       Date:  2016-03-15       Impact factor: 7.446

5.  Computer-Aided Discovery and Characterization of Novel Ebola Virus Inhibitors.

Authors:  Stephen J Capuzzi; Wei Sun; Eugene N Muratov; Carles Martínez-Romero; Shihua He; Wenjun Zhu; Hao Li; Gregory Tawa; Ethan G Fisher; Miao Xu; Paul Shinn; Xiangguo Qiu; Adolfo García-Sastre; Wei Zheng; Alexander Tropsha
Journal:  J Med Chem       Date:  2018-04-17       Impact factor: 7.446

6.  Identification and optimization of inhibitors of Trypanosomal cysteine proteases: cruzain, rhodesain, and TbCatB.

Authors:  Bryan T Mott; Rafaela S Ferreira; Anton Simeonov; Ajit Jadhav; Kenny Kean-Hooi Ang; William Leister; Min Shen; Julia T Silveira; Patricia S Doyle; Michelle R Arkin; James H McKerrow; James Inglese; Christopher P Austin; Craig J Thomas; Brian K Shoichet; David J Maloney
Journal:  J Med Chem       Date:  2010-01-14       Impact factor: 7.446

7.  ALARM NMR for HTS triage and chemical probe validation.

Authors:  Jayme L Dahlin; Matthew Cuellar; Gurpreet Singh; Kathryn M Nelson; Jessica Strasser; Todd Rappe; Youlin Xia; Gianluigi Veglia; Michael A Walters
Journal:  Curr Protoc Chem Biol       Date:  2018-04-09

8.  Complementarity between a docking and a high-throughput screen in discovering new cruzain inhibitors.

Authors:  Rafaela S Ferreira; Anton Simeonov; Ajit Jadhav; Oliv Eidam; Bryan T Mott; Michael J Keiser; James H McKerrow; David J Maloney; John J Irwin; Brian K Shoichet
Journal:  J Med Chem       Date:  2010-07-08       Impact factor: 7.446

9.  Colloid formation by drugs in simulated intestinal fluid.

Authors:  Allison K Doak; Holger Wille; Stanley B Prusiner; Brian K Shoichet
Journal:  J Med Chem       Date:  2010-05-27       Impact factor: 7.446

10.  High-affinity inhibitors of human NAD-dependent 15-hydroxyprostaglandin dehydrogenase: mechanisms of inhibition and structure-activity relationships.

Authors:  Frank H Niesen; Lena Schultz; Ajit Jadhav; Chitra Bhatia; Kunde Guo; David J Maloney; Ewa S Pilka; Minghua Wang; Udo Oppermann; Tom D Heightman; Anton Simeonov
Journal:  PLoS One       Date:  2010-11-02       Impact factor: 3.240

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