Literature DB >> 16859316

Comparative performance assessment of the conformational model generators omega and catalyst: a large-scale survey on the retrieval of protein-bound ligand conformations.

Johannes Kirchmair1, Gerhard Wolber, Christian Laggner, Thierry Langer.   

Abstract

In continuation of our studies to evaluate the ability of various conformer generators to produce bioactive conformations, we present the extension of our work on the analysis of Catalyst's conformational subsampling algorithm in a comparative evaluation with OpenEye's currently updated tool Omega 2.0. Our study is based on an enhanced test set of 778 drug molecules and pharmacologically relevant compounds extracted from the Protein Data Bank (PDB). We elaborated protocols for two common conformer generation use cases and applied them to both programs: (i) high-throughput settings for processing large databases and (ii) high-quality settings for binding site exploration or lead structure refinement. While Catalyst is faster in the first case, Omega 2.0 better reproduces the bound ligand conformations from the PDB in less time for the latter case.

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Year:  2006        PMID: 16859316     DOI: 10.1021/ci060084g

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


  39 in total

1.  PDB ligand conformational energies calculated quantum-mechanically.

Authors:  Markus Sitzmann; Iwona E Weidlich; Igor V Filippov; Chenzhong Liao; Megan L Peach; Wolf-Dietrich Ihlenfeldt; Rajeshri G Karki; Yulia V Borodina; Raul E Cachau; Marc C Nicklaus
Journal:  J Chem Inf Model       Date:  2012-02-21       Impact factor: 4.956

2.  High-throughput structure-based pharmacophore modelling as a basis for successful parallel virtual screening.

Authors:  Theodora M Steindl; Daniela Schuster; Gerhard Wolber; Christian Laggner; Thierry Langer
Journal:  J Comput Aided Mol Des       Date:  2006-09-29       Impact factor: 3.686

3.  Efficient overlay of small organic molecules using 3D pharmacophores.

Authors:  Gerhard Wolber; Alois A Dornhofer; Thierry Langer
Journal:  J Comput Aided Mol Des       Date:  2006-10-19       Impact factor: 3.686

4.  A knowledge-based approach to generating diverse but energetically representative ensembles of ligand conformers.

Authors:  Roman J Dorfman; Karl M Smith; Brian B Masek; Robert D Clark
Journal:  J Comput Aided Mol Des       Date:  2007-12-06       Impact factor: 3.686

Review 5.  Evaluation of the performance of 3D virtual screening protocols: RMSD comparisons, enrichment assessments, and decoy selection--what can we learn from earlier mistakes?

Authors:  Johannes Kirchmair; Patrick Markt; Simona Distinto; Gerhard Wolber; Thierry Langer
Journal:  J Comput Aided Mol Des       Date:  2008-01-15       Impact factor: 3.686

6.  Assessment of conformational ensemble sizes necessary for specific resolutions of coverage of conformational space.

Authors:  Yulia V Borodina; Evan Bolton; Fabien Fontaine; Stephen H Bryant
Journal:  J Chem Inf Model       Date:  2007-06-15       Impact factor: 4.956

7.  ParaFrag--an approach for surface-based similarity comparison of molecular fragments.

Authors:  Arjen-Joachim Jakobi; Harald Mauser; Timothy Clark
Journal:  J Mol Model       Date:  2008-05-01       Impact factor: 1.810

8.  Open3DALIGN: an open-source software aimed at unsupervised ligand alignment.

Authors:  Paolo Tosco; Thomas Balle; Fereshteh Shiri
Journal:  J Comput Aided Mol Des       Date:  2011-07-27       Impact factor: 3.686

9.  Ensemble pharmacophore meets ensemble docking: a novel screening strategy for the identification of RIPK1 inhibitors.

Authors:  S M Fayaz; G K Rajanikant
Journal:  J Comput Aided Mol Des       Date:  2014-07-01       Impact factor: 3.686

10.  DG-AMMOS: a new tool to generate 3d conformation of small molecules using distance geometry and automated molecular mechanics optimization for in silico screening.

Authors:  David Lagorce; Tania Pencheva; Bruno O Villoutreix; Maria A Miteva
Journal:  BMC Chem Biol       Date:  2009-11-13
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