Literature DB >> 17125173

MIMUMBA revisited: torsion angle rules for conformer generation derived from X-ray structures.

Jens Sadowski1, Jonas Boström.   

Abstract

A method has been developed which automatically generates SMARTS patterns for four-atomic torsional fragments, searches experimental structures in the Cambridge Crystallographic Database, and obtains rules for preferred torsion angles in drug-size molecules. These rules can be used for exhaustive conformational analysis using the popular conformer generator OMEGA. This approach results in an overall improvement of quality and coverage of conformational space when comparing conformer ensembles generated by this method with results obtained by using the default OMEGA setup. In particular, the percentage of structures with at least one conformation closer than 0.5 A to the X-ray structure improves from 84% to 92% in a test set of 11 027 experimental structures from the CSD. Moreover, the average RMS distance of the closest conformation to the X-ray structure improves from 0.30 to 0.22 A.

Mesh:

Year:  2006        PMID: 17125173     DOI: 10.1021/ci060042s

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


  7 in total

1.  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 2.  Conformational energy range of ligands in protein crystal structures: The difficult quest for accurate understanding.

Authors:  Megan L Peach; Raul E Cachau; Marc C Nicklaus
Journal:  J Mol Recognit       Date:  2017-02-24       Impact factor: 2.137

3.  Ligand Strain Energy in Large Library Docking.

Authors:  Shuo Gu; Matthew S Smith; Ying Yang; John J Irwin; Brian K Shoichet
Journal:  J Chem Inf Model       Date:  2021-09-01       Impact factor: 6.162

4.  Conformer generation with OMEGA: algorithm and validation using high quality structures from the Protein Databank and Cambridge Structural Database.

Authors:  Paul C D Hawkins; A Geoffrey Skillman; Gregory L Warren; Benjamin A Ellingson; Matthew T Stahl
Journal:  J Chem Inf Model       Date:  2010-04-26       Impact factor: 4.956

5.  PubChem3D: a new resource for scientists.

Authors:  Evan E Bolton; Jie Chen; Sunghwan Kim; Lianyi Han; Siqian He; Wenyao Shi; Vahan Simonyan; Yan Sun; Paul A Thiessen; Jiyao Wang; Bo Yu; Jian Zhang; Stephen H Bryant
Journal:  J Cheminform       Date:  2011-09-20       Impact factor: 5.514

6.  Rapid assessment of conformational preferences in biaryl and aryl carbonyl fragments.

Authors:  Sonia Maria Gutiérrez Sanfeliciano; John M Schaus
Journal:  PLoS One       Date:  2018-03-14       Impact factor: 3.240

7.  Effects of multiple conformers per compound upon 3-D similarity search and bioassay data analysis.

Authors:  Sunghwan Kim; Evan E Bolton; Stephen H Bryant
Journal:  J Cheminform       Date:  2012-11-07       Impact factor: 5.514

  7 in total

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