Literature DB >> 15340911

Comparative evaluation of eight docking tools for docking and virtual screening accuracy.

Esther Kellenberger1, Jordi Rodrigo, Pascal Muller, Didier Rognan.   

Abstract

Eight docking programs (DOCK, FLEXX, FRED, GLIDE, GOLD, SLIDE, SURFLEX, and QXP) that can be used for either single-ligand docking or database screening have been compared for their propensity to recover the X-ray pose of 100 small-molecular-weight ligands, and for their capacity to discriminate known inhibitors of an enzyme (thymidine kinase) from randomly chosen "drug-like" molecules. Interestingly, both properties are found to be correlated, since the tools showing the best docking accuracy (GLIDE, GOLD, and SURFLEX) are also the most successful in ranking known inhibitors in a virtual screening experiment. Moreover, the current study pinpoints some physicochemical descriptors of either the ligand or its cognate protein-binding site that generally lead to docking/scoring inaccuracies. Copyright 2004 Wiley-Liss, Inc.

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Year:  2004        PMID: 15340911     DOI: 10.1002/prot.20149

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  119 in total

1.  Are predefined decoy sets of ligand poses able to quantify scoring function accuracy?

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Journal:  J Comput Aided Mol Des       Date:  2012-01-10       Impact factor: 3.686

2.  Use of allostery to identify inhibitors of calmodulin-induced activation of Bacillus anthracis edema factor.

Authors:  Elodie Laine; Christophe Goncalves; Johanna C Karst; Aurélien Lesnard; Sylvain Rault; Wei-Jen Tang; Thérèse E Malliavin; Daniel Ladant; Arnaud Blondel
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-07       Impact factor: 11.205

3.  Biased retrieval of chemical series in receptor-based virtual screening.

Authors:  Natasja Brooijmans; Jason B Cross; Christine Humblet
Journal:  J Comput Aided Mol Des       Date:  2010-10-30       Impact factor: 3.686

4.  pK(a) based protonation states and microspecies for protein-ligand docking.

Authors:  Tim ten Brink; Thomas E Exner
Journal:  J Comput Aided Mol Des       Date:  2010-09-30       Impact factor: 3.686

5.  Ultrafast protein structure-based virtual screening with Panther.

Authors:  Sanna P Niinivehmas; Kari Salokas; Sakari Lätti; Hannu Raunio; Olli T Pentikäinen
Journal:  J Comput Aided Mol Des       Date:  2015-09-25       Impact factor: 3.686

6.  Surrogate docking: structure-based virtual screening at high throughput speed.

Authors:  Sukjoon Yoon; Andrew Smellie; David Hartsough; Anton Filikov
Journal:  J Comput Aided Mol Des       Date:  2005-11-16       Impact factor: 3.686

7.  Multiple ligand-binding modes in bacterial R67 dihydrofolate reductase.

Authors:  Hernán Alonso; Malcolm B Gillies; Peter L Cummins; Andrey A Bliznyuk; Jill E Gready
Journal:  J Comput Aided Mol Des       Date:  2005-03       Impact factor: 3.686

8.  Combined QSAR and molecule docking studies on predicting P-glycoprotein inhibitors.

Authors:  Wen Tan; Hu Mei; Li Chao; Tengfei Liu; Xianchao Pan; Mao Shu; Li Yang
Journal:  J Comput Aided Mol Des       Date:  2013-12-10       Impact factor: 3.686

9.  Flavonoids affect actin functions in cytoplasm and nucleus.

Authors:  Markus Böhl; Simon Tietze; Andrea Sokoll; Sineej Madathil; Frank Pfennig; Joannis Apostolakis; Karim Fahmy; Herwig O Gutzeit
Journal:  Biophys J       Date:  2007-06-15       Impact factor: 4.033

10.  Benchmarking methods and data sets for ligand enrichment assessment in virtual screening.

Authors:  Jie Xia; Ermias Lemma Tilahun; Terry-Elinor Reid; Liangren Zhang; Xiang Simon Wang
Journal:  Methods       Date:  2014-12-03       Impact factor: 3.608

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