Literature DB >> 16335919

Comparative virtual and experimental high-throughput screening for glycogen synthase kinase-3beta inhibitors.

Tímea Polgár1, Andrea Baki, Györgyi I Szendrei, György M Keseru.   

Abstract

Glycogen synthase kinase-3beta (GSK-3beta) is a serine/threonine kinase that has recently emerged as a key target for neurodegenerative diseases and diabetes. As an initial step of our lead discovery program, we developed a virtual screen to discriminate known GSK-3beta inhibitors and inactive compounds using FlexX, FlexX-Pharm, and FlexE. The maximal enrichment factor (EF = 28) suggests that our protocol identifies potential GSK-3beta inhibitors effectively from large compound collections. The effectiveness of our screening protocol was further investigated by comparative experimental and virtual high-throughput screens (HTSs) performed for the same subset of our corporate library. Enrichment factors, the significantly higher hit rate of virtual screening (12.9%) than that of the HTS (0.55%), and also the comparison of active clusters suggest that our virtual screening protocol is an effective tool in GSK-3beta-based library focusing. Head-to-head comparison of true/false positives and negatives revealed the two approaches to be complementary rather than competitive.

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Year:  2005        PMID: 16335919     DOI: 10.1021/jm050504d

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


  20 in total

Review 1.  GSK3beta: role in therapeutic landscape and development of modulators.

Authors:  S Phukan; V S Babu; A Kannoji; R Hariharan; V N Balaji
Journal:  Br J Pharmacol       Date:  2010-03-19       Impact factor: 8.739

2.  Protein protein interaction inhibition (2P2I) combining high throughput and virtual screening: Application to the HIV-1 Nef protein.

Authors:  Stéphane Betzi; Audrey Restouin; Sandrine Opi; Stefan T Arold; Isabelle Parrot; Françoise Guerlesquin; Xavier Morelli; Yves Collette
Journal:  Proc Natl Acad Sci U S A       Date:  2007-11-27       Impact factor: 11.205

3.  Emerging topics in structure-based virtual screening.

Authors:  Giulio Rastelli
Journal:  Pharm Res       Date:  2013-03-07       Impact factor: 4.200

4.  Combining cheminformatics methods and pathway analysis to identify molecules with whole-cell activity against Mycobacterium tuberculosis.

Authors:  Malabika Sarker; Carolyn Talcott; Peter Madrid; Sidharth Chopra; Barry A Bunin; Gyanu Lamichhane; Joel S Freundlich; Sean Ekins
Journal:  Pharm Res       Date:  2012-04-04       Impact factor: 4.200

5.  An Evaluation of Explicit Receptor Flexibility in Molecular Docking Using Molecular Dynamics and Torsion Angle Molecular Dynamics.

Authors:  Roger S Armen; Jianhan Chen; Charles L Brooks
Journal:  J Chem Theory Comput       Date:  2009-10-13       Impact factor: 6.006

6.  Crosstalk between phosphodiesterase 7 and glycogen synthase kinase-3: two relevant therapeutic targets for neurological disorders.

Authors:  Jose A Morales-Garcia; Valle Palomo; Miriam Redondo; Sandra Alonso-Gil; Carmen Gil; Ana Martinez; Ana Perez-Castillo
Journal:  ACS Chem Neurosci       Date:  2014-01-17       Impact factor: 4.418

7.  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

8.  Consistent improvement of cross-docking results using binding site ensembles generated with elastic network normal modes.

Authors:  Manuel Rueda; Giovanni Bottegoni; Ruben Abagyan
Journal:  J Chem Inf Model       Date:  2009-03       Impact factor: 4.956

9.  Virtual and experimental high-throughput screening (HTS) in search of novel inosine 5'-monophosphate dehydrogenase II (IMPDH II) inhibitors.

Authors:  Torsten Dunkern; Arati Prabhu; Prashant S Kharkar; Heike Goebel; Edith Rolser; Waltraud Burckhard-Boer; Premkumar Arumugam; Mahindra T Makhija
Journal:  J Comput Aided Mol Des       Date:  2012-11-02       Impact factor: 3.686

Review 10.  Docking and chemoinformatic screens for new ligands and targets.

Authors:  Peter Kolb; Rafaela S Ferreira; John J Irwin; Brian K Shoichet
Journal:  Curr Opin Biotechnol       Date:  2009-09-03       Impact factor: 9.740

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