Literature DB >> 12014959

Molecular docking and high-throughput screening for novel inhibitors of protein tyrosine phosphatase-1B.

Thompson N Doman1, Susan L McGovern, Bryan J Witherbee, Thomas P Kasten, Ravi Kurumbail, William C Stallings, Daniel T Connolly, Brian K Shoichet.   

Abstract

High-throughput screening (HTS) of compound libraries is used to discover novel leads for drug development. When a structure is available for the target, computer-based screening using molecular docking may also be considered. The two techniques have rarely been used together on the same target. The opportunity to do so presented itself in a project to discover novel inhibitors for the enzyme protein tyrosine phosphatase-1B (PTP1B), a tyrosine phosphatase that has been implicated as a key target for type II diabetes. A corporate library of approximately 400 000 compounds was screened using high-throughput experimental techniques for compounds that inhibited PTP1B. Concurrently, molecular docking was used to screen approximately 235 000 commercially available compounds against the X-ray crystallographic structure of PTP1B, and 365 high-scoring molecules were tested as inhibitors of the enzyme. Of approximately 400 000 molecules tested in the high-throughput experimental assay, 85 (0.021%) inhibited the enzyme with IC50 values less than 100 microM; the most active had an IC50 value of 4.2 microM. Of the 365 molecules suggested by molecular docking, 127 (34.8%) inhibited PTP1B with IC50 values less than 100 microM; the most active of these had an IC50 of 1.7 microM. Structure-based docking therefore enriched the hit rate by 1700-fold over random screening. The hits from both the high-throughput and docking screens were dissimilar from phosphotyrosine, the canonical substrate group for PTP1B; the two hit lists were also very different from each other. Surprisingly, the docking hits were judged to be more druglike than the HTS hits. The diversity of both hit lists and their dissimilarity from each other suggest that docking and HTS may be complementary techniques for lead discovery.

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Year:  2002        PMID: 12014959     DOI: 10.1021/jm010548w

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


  107 in total

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Authors:  Tamas Kortvelyesi; Michael Silberstein; Sheldon Dennis; Sandor Vajda
Journal:  J Comput Aided Mol Des       Date:  2003 Feb-Apr       Impact factor: 3.686

2.  Identifying the binding mode of a molecular scaffold.

Authors:  Doron Chema; Doron Eren; Avner Yayon; Amiram Goldblum; Andrea Zaliani
Journal:  J Comput Aided Mol Des       Date:  2004-01       Impact factor: 3.686

3.  Molecular docking simulations for macromolecularly imprinted polymers.

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Review 4.  Virtual screening of chemical libraries.

Authors:  Brian K Shoichet
Journal:  Nature       Date:  2004-12-16       Impact factor: 49.962

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

Authors:  Ruth Brenk; John J Irwin; Brian K Shoichet
Journal:  J Biomol Screen       Date:  2005-09-16

6.  Decoys for docking.

Authors:  Alan P Graves; Ruth Brenk; Brian K Shoichet
Journal:  J Med Chem       Date:  2005-06-02       Impact factor: 7.446

7.  Discovery of protein phosphatase 2C inhibitors by virtual screening.

Authors:  Jessica P Rogers; Albert E Beuscher; Marc Flajolet; Thomas McAvoy; Angus C Nairn; Arthur J Olson; Paul Greengard
Journal:  J Med Chem       Date:  2006-03-09       Impact factor: 7.446

Review 8.  Computer-aided drug discovery and development (CADDD): in silico-chemico-biological approach.

Authors:  I M Kapetanovic
Journal:  Chem Biol Interact       Date:  2006-12-16       Impact factor: 5.192

Review 9.  Towards the development of universal, fast and highly accurate docking/scoring methods: a long way to go.

Authors:  N Moitessier; P Englebienne; D Lee; J Lawandi; C R Corbeil
Journal:  Br J Pharmacol       Date:  2007-11-26       Impact factor: 8.739

10.  Multiple-step virtual screening using VSM-G: overview and validation of fast geometrical matching enrichment.

Authors:  Alexandre Beautrait; Vincent Leroux; Matthieu Chavent; Léo Ghemtio; Marie-Dominique Devignes; Malika Smaïl-Tabbone; Wensheng Cai; Xuegang Shao; Gilles Moreau; Peter Bladon; Jianhua Yao; Bernard Maigret
Journal:  J Mol Model       Date:  2008-01-03       Impact factor: 1.810

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