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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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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