Literature DB >> 10896316

Evaluation of docking/scoring approaches: a comparative study based on MMP3 inhibitors.

S Ha1, R Andreani, A Robbins, I Muegge.   

Abstract

An increasing number of docking/scoring programs are available that use different sampling and scoring algorithms. A reliable scoring function is the crucial element of such approaches. Comparative studies are needed to evaluate their current capabilities. DOCK4 with force field and PMF scoring as well as FlexX were used to evaluate the predictive power of these docking/scoring approaches to identify the correct binding mode of 61 MMP-3 inhibitors in a crystal structure of stromelysin and also to rank them according to their different binding affinities. It was found that DOCK4/PMF scoring performs significantly better than FlexX and DOCK4/FF in both ranking ligands and predicting their binding modes. Most notably, DOCK4/PMF was the only scoring/docking approach that found a significant correlation between binding affinity and predicted score of the docked inhibitors. However, comparing only those cases where the correct binding mode was identified (scoring highest among sampled poses), FlexX showed the best 'fine tuning' (lowest rmsd) in predicted binding modes. The results suggest that not so much the sampling procedure but rather the scoring function is the crucial element of a docking program.

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Year:  2000        PMID: 10896316     DOI: 10.1023/a:1008137707965

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


  27 in total

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  9 in total

1.  A virtual high throughput screen for high affinity cytochrome P450cam substrates. Implications for in silico prediction of drug metabolism.

Authors:  G M Keseru
Journal:  J Comput Aided Mol Des       Date:  2001-07       Impact factor: 3.686

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Authors:  Badry D Bursulaya; Maxim Totrov; Ruben Abagyan; Charles L Brooks
Journal:  J Comput Aided Mol Des       Date:  2003-11       Impact factor: 3.686

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Journal:  Br J Pharmacol       Date:  2007-11-26       Impact factor: 8.739

5.  Assessing protein-ligand interaction scoring functions with the CASF-2013 benchmark.

Authors:  Yan Li; Minyi Su; Zhihai Liu; Jie Li; Jie Liu; Li Han; Renxiao Wang
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Authors:  Chaya Rapp; Chakrapani Kalyanaraman; Aviva Schiffmiller; Esther Leah Schoenbrun; Matthew P Jacobson
Journal:  J Chem Inf Model       Date:  2011-08-09       Impact factor: 4.956

8.  Exploring CYP1A1 as anticancer target: homology modeling and in silico inhibitor design.

Authors:  Abhay T Sangamwar; Leena B Labhsetwar; Sharad V Kuberkar
Journal:  J Mol Model       Date:  2008-07-30       Impact factor: 1.810

9.  Theoretical study of molecular determinants involved in signal binding to the TraR protein of Agrobacterium tumefaciens.

Authors:  Wai-Kean Goh; Scott A Rice; Naresh Kumar
Journal:  Molecules       Date:  2005-10-31       Impact factor: 4.411

  9 in total

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