Literature DB >> 17201411

Comparison of shape-matching and docking as virtual screening tools.

Paul C D Hawkins1, A Geoffrey Skillman, Anthony Nicholls.   

Abstract

Ligand docking is a widely used approach in virtual screening. In recent years a large number of publications have appeared in which docking tools are compared and evaluated for their effectiveness in virtual screening against a wide variety of protein targets. These studies have shown that the effectiveness of docking in virtual screening is highly variable due to a large number of possible confounding factors. Another class of method that has shown promise in virtual screening is the shape-based, ligand-centric approach. Several direct comparisons of docking with the shape-based tool ROCS have been conducted using data sets from some of these recent docking publications. The results show that a shape-based, ligand-centric approach is more consistent than, and often superior to, the protein-centric approach taken by docking.

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Year:  2007        PMID: 17201411     DOI: 10.1021/jm0603365

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


  237 in total

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Journal:  Mol Pharmacol       Date:  2014-08-26       Impact factor: 4.436

4.  Design of protein membrane interaction inhibitors by virtual ligand screening, proof of concept with the C2 domain of factor V.

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Journal:  Proc Natl Acad Sci U S A       Date:  2007-07-23       Impact factor: 11.205

5.  LASSO-ligand activity by surface similarity order: a new tool for ligand based virtual screening.

Authors:  Darryl Reid; Bashir S Sadjad; Zsolt Zsoldos; Aniko Simon
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6.  Optimization of CAMD techniques 3. Virtual screening enrichment studies: a help or hindrance in tool selection?

Authors:  Andrew C Good; Tudor I Oprea
Journal:  J Comput Aided Mol Des       Date:  2008-01-09       Impact factor: 3.686

Review 7.  Exploring chemical space for drug discovery using the chemical universe database.

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Journal:  ACS Chem Neurosci       Date:  2012-04-25       Impact factor: 4.418

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Journal:  J Chem Inf Model       Date:  2013-12-16       Impact factor: 4.956

9.  Pharmacophore-based screening of diamidine small molecule inhibitors for protein arginine methyltransferases.

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10.  Targeting CDK9 Reactivates Epigenetically Silenced Genes in Cancer.

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Journal:  Cell       Date:  2018-10-25       Impact factor: 41.582

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