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.
MAYGEN: an open-source chemical structure generator for constitutional isomers based on the orderly generation principle.
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作者:Yirik Mehmet Aziz, Sorokina Maria, Steinbeck Christoph
| 期刊: | Journal of Cheminformatics | 影响因子: | 5.700 |
| 时间: | 2021 | 起止号: | 2021 Jul 3; 13(1):48 |
| doi: | 10.1186/s13321-021-00529-9 | ||
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