Literature DB >> 18816046

Fully automated molecular mechanics based induced fit protein-ligand docking method.

Jürgen Koska1, Velin Z Spassov, Allister J Maynard, Lisa Yan, Nic Austin, Paul K Flook, C M Venkatachalam.   

Abstract

We describe a method for docking a ligand into a protein receptor while allowing flexibility of the protein binding site. The method employs a multistep procedure that begins with the generation of protein and ligand conformations. An initial placement of the ligand is then performed by computing binding site hotspots. This initial placement is followed by a protein side-chain refinement stage that models protein flexibility. The final step of the process is an energy minimization of the ligand pose in the presence of the rigid receptor. Thus the algorithm models flexibility of the protein at two stages, before and after ligand placement. We validated this method by performing docking and cross docking studies of eight protein systems for which crystal structures were available for at least two bound ligands. The resulting rmsd values of the 21 docked protein-ligand complexes showed values of 2 A or less for all but one of the systems examined. The method has two critical benefits for high throughput virtual screening studies. First, no user intervention is required in the docking once the initial binding site selection has been made in the protein. Second, the initial protein conformation generation needs to be performed only once for a given binding region. Also, the method may be customized in various ways depending on the particular scenario in which dockings are being performed. Each of the individual steps of the method is fully independent making it straightforward to explore different variants of the high level workflow to further improve accuracy and performance.

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Year:  2008        PMID: 18816046     DOI: 10.1021/ci800081s

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  53 in total

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Journal:  J Biol Chem       Date:  2012-06-21       Impact factor: 5.157

4.  Structure-Based Screen Identification of a Mammalian Ste20-like Kinase 4 (MST4) Inhibitor with Therapeutic Potential for Pituitary Tumors.

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Journal:  Mol Cancer Ther       Date:  2015-12-31       Impact factor: 6.261

5.  A mechanistic and structural analysis of the inhibition of the 90-kDa heat shock protein by the benzoquinone and hydroquinone ansamycins.

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Journal:  Mol Pharmacol       Date:  2011-02-01       Impact factor: 4.436

6.  Allosteric inhibitors of the Eya2 phosphatase are selective and inhibit Eya2-mediated cell migration.

Authors:  Aaron B Krueger; David J Drasin; Wendy A Lea; Aaron N Patrick; Samarjit Patnaik; Donald S Backos; Christopher J Matheson; Xin Hu; Elena Barnaeva; Michael J Holliday; Melanie A Blevins; Tyler P Robin; Elan Z Eisenmesser; Marc Ferrer; Anton Simeonov; Noel Southall; Philip Reigan; Juan Marugan; Heide L Ford; Rui Zhao
Journal:  J Biol Chem       Date:  2014-04-22       Impact factor: 5.157

7.  Structural Insight into BLM Recognition by TopBP1.

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8.  Dimeric isoxazolyl-1,4-dihydropyridines have enhanced binding at the multi-drug resistance transporter.

Authors:  Scott A Steiger; Chun Li; Donald S Backos; Philip Reigan; N R Natale
Journal:  Bioorg Med Chem       Date:  2017-04-08       Impact factor: 3.641

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Authors:  Syng-Ook Lee; Xi Li; Erik Hedrick; Un-Ho Jin; Ronald B Tjalkens; Donald S Backos; Li Li; Yi Zhang; Qiao Wu; Stephen Safe
Journal:  Mol Endocrinol       Date:  2014-08-06

10.  A computational simulation study of benzamidine derivatives binding to arginine-specific gingipain (HRgpA) from periodontopathogen Porphyromonas gingivalis.

Authors:  Dooil Kim; Dae-Sil Lee
Journal:  Int J Mol Sci       Date:  2010-09-13       Impact factor: 5.923

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