Literature DB >> 22576241

Docking performance of the glide program as evaluated on the Astex and DUD datasets: a complete set of glide SP results and selected results for a new scoring function integrating WaterMap and glide.

Matthew P Repasky1, Robert B Murphy, Jay L Banks, Jeremy R Greenwood, Ivan Tubert-Brohman, Sathesh Bhat, Richard A Friesner.   

Abstract

Glide SP mode enrichment results for two preparations of the DUD dataset and native ligand docking RMSDs for two preparations of the Astex dataset are presented. Following a best-practices preparation scheme, an average RMSD of 1.140 Å for native ligand docking with Glide SP is computed. Following the same best-practices preparation scheme for the DUD dataset an average area under the ROC curve (AUC) of 0.80 and average early enrichment via the ROC (0.1 %) metric of 0.12 were observed. 74 and 56 % of the 39 best-practices prepared targets showed AUC over 0.7 and 0.8, respectively. Average AUC was greater than 0.7 for all best-practices protein families demonstrating consistent enrichment performance across a broad range of proteins and ligand chemotypes. In both Astex and DUD datasets, docking performance is significantly improved employing a best-practices preparation scheme over using minimally-prepared structures from the PDB. Enrichment results for WScore, a new scoring function and sampling methodology integrating WaterMap and Glide, are presented for four DUD targets, hivrt, hsp90, cdk2, and fxa. WScore performance in early enrichment is consistently strong and all systems examined show AUC > 0.9 and superior early enrichment to DUD best-practices Glide SP results.

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Year:  2012        PMID: 22576241     DOI: 10.1007/s10822-012-9575-9

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  18 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Glide: a new approach for rapid, accurate docking and scoring. 2. Enrichment factors in database screening.

Authors:  Thomas A Halgren; Robert B Murphy; Richard A Friesner; Hege S Beard; Leah L Frye; W Thomas Pollard; Jay L Banks
Journal:  J Med Chem       Date:  2004-03-25       Impact factor: 7.446

3.  Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy.

Authors:  Richard A Friesner; Jay L Banks; Robert B Murphy; Thomas A Halgren; Jasna J Klicic; Daniel T Mainz; Matthew P Repasky; Eric H Knoll; Mee Shelley; Jason K Perry; David E Shaw; Perry Francis; Peter S Shenkin
Journal:  J Med Chem       Date:  2004-03-25       Impact factor: 7.446

4.  Ligand Entropy in Gas-Phase, Upon Solvation and Protein Complexation. Fast Estimation with Quasi-Newton Hessian.

Authors:  S Wlodek; A G Skillman; A Nicholls
Journal:  J Chem Theory Comput       Date:  2010-07-13       Impact factor: 6.006

5.  Virtual screening of molecular databases using a support vector machine.

Authors:  Robert N Jorissen; Michael K Gilson
Journal:  J Chem Inf Model       Date:  2005 May-Jun       Impact factor: 4.956

6.  Extra precision glide: docking and scoring incorporating a model of hydrophobic enclosure for protein-ligand complexes.

Authors:  Richard A Friesner; Robert B Murphy; Matthew P Repasky; Leah L Frye; Jeremy R Greenwood; Thomas A Halgren; Paul C Sanschagrin; Daniel T Mainz
Journal:  J Med Chem       Date:  2006-10-19       Impact factor: 7.446

7.  Role of the active-site solvent in the thermodynamics of factor Xa ligand binding.

Authors:  Robert Abel; Tom Young; Ramy Farid; Bruce J Berne; Richard A Friesner
Journal:  J Am Chem Soc       Date:  2008-02-12       Impact factor: 15.419

8.  High-energy water sites determine peptide binding affinity and specificity of PDZ domains.

Authors:  Thijs Beuming; Ramy Farid; Woody Sherman
Journal:  Protein Sci       Date:  2009-08       Impact factor: 6.725

9.  Understanding kinase selectivity through energetic analysis of binding site waters.

Authors:  Daniel D Robinson; Woody Sherman; Ramy Farid
Journal:  ChemMedChem       Date:  2010-04-06       Impact factor: 3.466

10.  New hypotheses about the structure-function of proprotein convertase subtilisin/kexin type 9: analysis of the epidermal growth factor-like repeat A docking site using WaterMap.

Authors:  Robert A Pearlstein; Qi-Ying Hu; Jing Zhou; David Yowe; Julian Levell; Bethany Dale; Virendar K Kaushik; Doug Daniels; Susan Hanrahan; Woody Sherman; Robert Abel
Journal:  Proteins       Date:  2010-09
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  41 in total

1.  BEDAM binding free energy predictions for the SAMPL4 octa-acid host challenge.

Authors:  Emilio Gallicchio; Haoyuan Chen; He Chen; Michael Fitzgerald; Yang Gao; Peng He; Malathi Kalyanikar; Chuan Kao; Beidi Lu; Yijie Niu; Manasi Pethe; Jie Zhu; Ronald M Levy
Journal:  J Comput Aided Mol Des       Date:  2015-03-01       Impact factor: 3.686

Review 2.  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

3.  Druggability and Binding Site Interaction Studies of Potential Metabolites Isolated from Marine Sponge Aurora globostellata against Human Epidermal Growth Factor Receptor-2.

Authors:  M Sugappriya; D Sudarsanam; Raj Bhaskaran; Jerrine Joseph; Arumugam Suresh
Journal:  Bioinformation       Date:  2017-08-31

4.  Biased Docking for Protein-Ligand Pose Prediction.

Authors:  Juan Pablo Arcon; Adrián G Turjanski; Marcelo A Martí; Stefano Forli
Journal:  Methods Mol Biol       Date:  2021

5.  Force Field Optimization Guided by Small Molecule Crystal Lattice Data Enables Consistent Sub-Angstrom Protein-Ligand Docking.

Authors:  Hahnbeom Park; Guangfeng Zhou; Minkyung Baek; David Baker; Frank DiMaio
Journal:  J Chem Theory Comput       Date:  2021-02-12       Impact factor: 6.006

6.  A consistent description of HYdrogen bond and DEhydration energies in protein-ligand complexes: methods behind the HYDE scoring function.

Authors:  Nadine Schneider; Gudrun Lange; Sally Hindle; Robert Klein; Matthias Rarey
Journal:  J Comput Aided Mol Des       Date:  2012-12-27       Impact factor: 3.686

7.  Protein and ligand preparation: parameters, protocols, and influence on virtual screening enrichments.

Authors:  G Madhavi Sastry; Matvey Adzhigirey; Tyler Day; Ramakrishna Annabhimoju; Woody Sherman
Journal:  J Comput Aided Mol Des       Date:  2013-04-12       Impact factor: 3.686

8.  Structure of a dihydroxycoumarin active-site inhibitor in complex with the RNase H domain of HIV-1 reverse transcriptase and structure-activity analysis of inhibitor analogs.

Authors:  Daniel M Himmel; Nataliya S Myshakina; Tatiana Ilina; Alexander Van Ry; William C Ho; Michael A Parniak; Eddy Arnold
Journal:  J Mol Biol       Date:  2014-05-17       Impact factor: 5.469

9.  Virtual screening of integrase inhibitors by large scale binding free energy calculations: the SAMPL4 challenge.

Authors:  Emilio Gallicchio; Nanjie Deng; Peng He; Lauren Wickstrom; Alexander L Perryman; Daniel N Santiago; Stefano Forli; Arthur J Olson; Ronald M Levy
Journal:  J Comput Aided Mol Des       Date:  2014-02-07       Impact factor: 3.686

10.  An integrated approach to knowledge-driven structure-based virtual screening.

Authors:  Angela M Henzler; Sascha Urbaczek; Matthias Hilbig; Matthias Rarey
Journal:  J Comput Aided Mol Des       Date:  2014-07-04       Impact factor: 3.686

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