SynRoute: A Retrosynthetic Planning Software

被引:4
|
作者
Latendresse, Mario [1 ,2 ]
Malerich, Jeremiah P. [1 ,3 ]
Herson, James [1 ]
Krummenacker, Markus [1 ]
Szeto, Judy [1 ,4 ]
Vu, Vi-Anh [1 ,5 ]
Collins, Nathan [1 ,2 ]
Madrid, Peter B. [1 ,2 ]
机构
[1] SRI Int, Menlo Pk, CA 94025 USA
[2] Synfini Inc, Suite 150-149 570 El Camino Real, Redwood City, CA 94062 USA
[3] NanoSyn, 3100 Cent Expy, Santa Clara, CA 95051 USA
[4] R2M Pharma Inc, 600 Gateway Blvd, San Francisco, CA 94080 USA
[5] RAPT Therapeut, 561 Eccles Ave, San Francisco, CA 94080 USA
关键词
ASSISTED SYNTHETIC ANALYSIS; REACTION PREDICTION; COMPUTER; TRANSFORMER;
D O I
10.1021/acs.jcim.3c00491
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Computer-assisted synthetic planning has seen major advancements that stem from the availability of large reaction databases and artificial intelligence methodologies. SynRoute is a new retrosynthetic planning software tool that uses a relatively small number of general reaction templates, currently 263, along with a literature-based reaction database to find short, practical synthetic routes for target compounds. For each reaction template, a machine learning classifier is trained using data from the Pistachio reaction database to predict whether new computer-generated reactions based on the template are likely to work experimentally in the laboratory. This reaction generation methodology is used together with a vectorized Dijkstra-like search of top-scoring routes organized by synthetic strategies for easy browsing by a synthetic chemist. SynRoute was able to find routes for an average of 83% of compounds based on selection of random subsets of drug-like compounds from the ChEMBL database. Laboratory evaluation of 12 routes produced by SynRoute, to synthesize compounds not from the previous random subsets, demonstrated the ability to produce feasible overall synthetic strategies for all compounds evaluated.
引用
收藏
页码:5484 / 5495
页数:12
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