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  • 标题:ErtlFunctionalGroupsFinder: automated rule-based functional group detection with the Chemistry Development Kit (CDK)
  • 本地全文:下载
  • 作者:Sebastian Fritsch ; Stefan Neumann ; Jonas Schaub
  • 期刊名称:Journal of Cheminformatics
  • 印刷版ISSN:1758-2946
  • 电子版ISSN:1758-2946
  • 出版年度:2019
  • 卷号:11
  • 期号:1
  • 页码:1-8
  • DOI:10.1186/s13321-019-0361-8
  • 出版社:BioMed Central
  • 摘要:The Ertl algorithm for automated functional groups (FG) detection and extraction of organic molecules is implemented on the basis of the Chemistry Development Kit (CDK). A distinct impact of the chosen CDK aromaticity model is demonstrated by an FG analysis of the ChEMBL database compounds. The average performance of less than a millisecond for a single-molecule FG extraction allows for fast processing of even large compound databases.
  • 关键词:Chemistry Development Kit ; CDK ; Functional group ; Aromaticity ; Electron donation ; Cycle finder
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