Literature DB >> 16170052

Here be dragons: docking and screening in an uncharted region of chemical space.

Ruth Brenk1, John J Irwin, Brian K Shoichet.   

Abstract

To compare virtual and high-throughput screening in an unbiased way, 50,000 compounds were docked into the 3-dimensional structure of dihydrofolate reductase prospectively, and the results were compared to a subsequent experimental screening of the same library. Undertaking these calculations demanded careful database curation and control calculations with annotated inhibitors. These ultimately led to a ranked list of more likely and less likely inhibitors and to the prediction that relatively few inhibitors would be found in the empirical screen. The latter prediction turned out to be correct, with arguably no validated inhibitors found experimentally. Subsequent retesting of high-scoring docked molecules may have found 2 true inhibitors, although this remains uncertain due to experimental ambiguities. The implications of this study for screening campaigns are considered.

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Year:  2005        PMID: 16170052      PMCID: PMC1532927          DOI: 10.1177/1087057105281047

Source DB:  PubMed          Journal:  J Biomol Screen        ISSN: 1087-0571


  24 in total

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Review 2.  Relibase: design and development of a database for comprehensive analysis of protein-ligand interactions.

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Journal:  J Mol Biol       Date:  2003-02-14       Impact factor: 5.469

3.  Information decay in molecular docking screens against holo, apo, and modeled conformations of enzymes.

Authors:  Susan L McGovern; Brian K Shoichet
Journal:  J Med Chem       Date:  2003-07-03       Impact factor: 7.446

4.  High throughput screening identifies novel inhibitors of Escherichia coli dihydrofolate reductase that are competitive with dihydrofolate.

Authors:  Michela Zolli-Juran; Jonathan D Cechetto; Rebecca Hartlen; Denis M Daigle; Eric D Brown
Journal:  Bioorg Med Chem Lett       Date:  2003-08-04       Impact factor: 2.823

5.  Testing a flexible-receptor docking algorithm in a model binding site.

Authors:  Binqing Q Wei; Larry H Weaver; Anna M Ferrari; Brian W Matthews; Brian K Shoichet
Journal:  J Mol Biol       Date:  2004-04-09       Impact factor: 5.469

6.  Soft docking and multiple receptor conformations in virtual screening.

Authors:  Anna Maria Ferrari; Binqing Q Wei; Luca Costantino; Brian K Shoichet
Journal:  J Med Chem       Date:  2004-10-07       Impact factor: 7.446

7.  Comparing performance of computational tools for combinatorial library design.

Authors:  Erik Evensen; John E Eksterowicz; Robert V Stanton; Connie Oshiro; Peter D J Grootenhuis; Erin K Bradley
Journal:  J Med Chem       Date:  2003-11-20       Impact factor: 7.446

8.  Calculation of electrostatic potentials in an enzyme active site.

Authors:  M K Gilson; B H Honig
Journal:  Nature       Date:  1987 Nov 5-11       Impact factor: 49.962

9.  A geometric approach to macromolecule-ligand interactions.

Authors:  I D Kuntz; J M Blaney; S J Oatley; R Langridge; T E Ferrin
Journal:  J Mol Biol       Date:  1982-10-25       Impact factor: 5.469

10.  Dihydrofolate reductase: x-ray structure of the binary complex with methotrexate.

Authors:  D A Matthews; R A Alden; J T Bolin; S T Freer; R Hamlin; N Xuong; J Kraut; M Poe; M Williams; K Hoogsteen
Journal:  Science       Date:  1977-07-29       Impact factor: 47.728

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  15 in total

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Review 2.  Hierarchical docking of databases of multiple ligand conformations.

Authors:  David M Lorber; Brian K Shoichet
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3.  Benchmarking sets for molecular docking.

Authors:  Niu Huang; Brian K Shoichet; John J Irwin
Journal:  J Med Chem       Date:  2006-11-16       Impact factor: 7.446

4.  Conformational Control of UDP-Galactopyranose Mutase Inhibition.

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Review 5.  Targeting xenobiotic receptors PXR and CAR in human diseases.

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Journal:  Drug Discov Today       Date:  2014-11-20       Impact factor: 7.851

6.  Probing molecular docking in a charged model binding site.

Authors:  Ruth Brenk; Stefan W Vetter; Sarah E Boyce; David B Goodin; Brian K Shoichet
Journal:  J Mol Biol       Date:  2006-02-02       Impact factor: 5.469

7.  A statistical framework to evaluate virtual screening.

Authors:  Wei Zhao; Kirk E Hevener; Stephen W White; Richard E Lee; James M Boyett
Journal:  BMC Bioinformatics       Date:  2009-07-20       Impact factor: 3.169

8.  Virtual Screening as a Technique for PPAR Modulator Discovery.

Authors:  Stephanie N Lewis; Josep Bassaganya-Riera; David R Bevan
Journal:  PPAR Res       Date:  2009-09-02       Impact factor: 4.964

9.  IspE inhibitors identified by a combination of in silico and in vitro high-throughput screening.

Authors:  Naomi Tidten-Luksch; Raffaella Grimaldi; Leah S Torrie; Julie A Frearson; William N Hunter; Ruth Brenk
Journal:  PLoS One       Date:  2012-04-25       Impact factor: 3.240

10.  Ligand-based virtual screening and inductive learning for identification of SIRT1 inhibitors in natural products.

Authors:  Yunan Sun; Hui Zhou; Hongmei Zhu; Siu-wai Leung
Journal:  Sci Rep       Date:  2016-01-25       Impact factor: 4.379

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