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  • 标题:Confab - Systematic generation of diverse low-energy conformers
  • 本地全文:下载
  • 作者:Noel M O'Boyle ; Tim Vandermeersch ; Christopher J Flynn
  • 期刊名称:Journal of Cheminformatics
  • 印刷版ISSN:1758-2946
  • 电子版ISSN:1758-2946
  • 出版年度:2011
  • 卷号:3
  • 期号:1
  • 页码:8
  • DOI:10.1186/1758-2946-3-8
  • 语种:English
  • 出版社:BioMed Central
  • 摘要: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. 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. Confab is available from http://confab.googlecode.com .
  • 关键词:Torsion Angle ; Conformational Space ; Rotatable Bond ; Methylene Carbon ; Linear Feedback Shift Register
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