Confab - Systematic generation of diverse low-energy conformers

  • Noel M. O'Boyle
  • , Tim Vandermeersch
  • , Christopher J. Flynn
  • , Anita R. Maguire
  • , Geoffrey R. Hutchison

Research output: Contribution to journalArticlepeer-review

Abstract

Background: 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. Results: 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 at a diversity level of 1.5 and an energy cutoff of 50 kcal/mol. Conclusions: Confab is available from http://confab.googlecode.com.

Original languageEnglish
Article number8
JournalJournal of Cheminformatics
Volume3
Issue number1
DOIs
Publication statusPublished - 2011

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