Confab - Systematic generation of diverse low-energy conformers

<p>Abstract</p> <p>Background</p> <p>Many computational chemistry analyses require the generation of conformers, either on-the-fly, or in advance. We present Confab, an open source command-line application for the systematic generation of low-energy conformers according...

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Main Authors: O'Boyle Noel M, Vandermeersch Tim, Flynn Christopher J, Maguire Anita R, Hutchison Geoffrey R
Format: Article
Language:English
Published: BMC 2011-03-01
Series:Journal of Cheminformatics
Online Access:http://www.jcheminf.com/content/3/1/8
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spelling doaj-a85540df5c2f44b49c3abd2f160c2bea2020-11-24T23:51:19ZengBMCJournal of Cheminformatics1758-29462011-03-0131810.1186/1758-2946-3-8Confab - Systematic generation of diverse low-energy conformersO'Boyle Noel MVandermeersch TimFlynn Christopher JMaguire Anita RHutchison Geoffrey R<p>Abstract</p> <p>Background</p> <p>Many computational chemistry analyses require the generation of conformers, either on-the-fly, or in advance. We present Confab, an open source command-line application for the systematic generation of low-energy conformers according to a diversity criterion.</p> <p>Results</p> <p>Confab generates conformations using the 'torsion driving approach' which involves iterating systematically through a set of allowed torsion angles for each rotatable bond. Energy is assessed using the MMFF94 forcefield. Diversity is measured using the heavy-atom root-mean-square deviation (RMSD) relative to conformers already stored. We investigated the recovery of crystal structures for a dataset of 1000 ligands from the Protein Data Bank with fewer than 1 million conformations. Confab can recover 97% of the molecules to within 1.5 Å at a diversity level of 1.5 Å and an energy cutoff of 50 kcal/mol.</p> <p>Conclusions</p> <p>Confab is available from <url>http://confab.googlecode.com</url>.</p> http://www.jcheminf.com/content/3/1/8
collection DOAJ
language English
format Article
sources DOAJ
author O'Boyle Noel M
Vandermeersch Tim
Flynn Christopher J
Maguire Anita R
Hutchison Geoffrey R
spellingShingle O'Boyle Noel M
Vandermeersch Tim
Flynn Christopher J
Maguire Anita R
Hutchison Geoffrey R
Confab - Systematic generation of diverse low-energy conformers
Journal of Cheminformatics
author_facet O'Boyle Noel M
Vandermeersch Tim
Flynn Christopher J
Maguire Anita R
Hutchison Geoffrey R
author_sort O'Boyle Noel M
title Confab - Systematic generation of diverse low-energy conformers
title_short Confab - Systematic generation of diverse low-energy conformers
title_full Confab - Systematic generation of diverse low-energy conformers
title_fullStr Confab - Systematic generation of diverse low-energy conformers
title_full_unstemmed Confab - Systematic generation of diverse low-energy conformers
title_sort confab - systematic generation of diverse low-energy conformers
publisher BMC
series Journal of Cheminformatics
issn 1758-2946
publishDate 2011-03-01
description <p>Abstract</p> <p>Background</p> <p>Many computational chemistry analyses require the generation of conformers, either on-the-fly, or in advance. We present Confab, an open source command-line application for the systematic generation of low-energy conformers according to a diversity criterion.</p> <p>Results</p> <p>Confab generates conformations using the 'torsion driving approach' which involves iterating systematically through a set of allowed torsion angles for each rotatable bond. Energy is assessed using the MMFF94 forcefield. Diversity is measured using the heavy-atom root-mean-square deviation (RMSD) relative to conformers already stored. We investigated the recovery of crystal structures for a dataset of 1000 ligands from the Protein Data Bank with fewer than 1 million conformations. Confab can recover 97% of the molecules to within 1.5 Å at a diversity level of 1.5 Å and an energy cutoff of 50 kcal/mol.</p> <p>Conclusions</p> <p>Confab is available from <url>http://confab.googlecode.com</url>.</p>
url http://www.jcheminf.com/content/3/1/8
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