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  • 标题:MAYGEN: an open-source chemical structure generator for constitutional isomers based on the orderly generation principle
  • 本地全文:下载
  • 作者:Mehmet Aziz Yirik ; Maria Sorokina ; Christoph Steinbeck
  • 期刊名称:Journal of Cheminformatics
  • 印刷版ISSN:1758-2946
  • 电子版ISSN:1758-2946
  • 出版年度:2021
  • 卷号:13
  • 期号:1
  • 页码:1-14
  • DOI:10.1186/s13321-021-00529-9
  • 出版社:BioMed Central
  • 摘要:The generation of constitutional isomer chemical spaces has been a subject of cheminformatics since the early 1960s, with applications in structure elucidation and elsewhere. In order to perform such a generation efficiently, exhaustively and isomorphism-free, the structure generator needs to ensure the building of canonical graphs already during the generation step and not by subsequent filtering. Here we present MAYGEN, an open-source, pure-Java development of a constitutional isomer molecular generator. The principles of MAYGEN’s architecture and algorithm are outlined and the software is benchmarked in single-threaded mode against the state-of-the-art, but closed-source solution MOLGEN, as well as against the best open-source solution PMG. Based on the benchmarking, MAYGEN is on average 47 times faster than PMG and on average three times slower than MOLGEN in performance.
  • 关键词:Constitutional isomer generation ; Algorithmic group theory ; Algorithmic graph theory ; Chemical graph generation ; Open-source software ; CDK
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