Akhmetshin Tagir, Zankov Dmitry, Gantzer Philippe, Babadeev Dmitry, Pinigina Anna, Madzhidov Timur, Varnek Alexandre
Laboratory of Chemoinformatics, UMR 7140 CNRS, University of Strasbourg, 4, Blaise Pascal Str., 67000 Strasbourg, France.
Institute for Chemical Reaction Design and Discovery (WPI-ICReDD), Hokkaido University, Kita 21 Nishi 10, Kita-ku, 001-0021 Sapporo, Japan.
J Chem Inf Model. 2025 Jan 13;65(1):15-21. doi: 10.1021/acs.jcim.4c02004. Epub 2024 Dec 31.
SynPlanner is an end-to-end tool for designing customized retrosynthetic planners from reaction data. It includes a reaction data curation pipeline (reaction atom-to-atom mapping, reaction standardization, and filtration), reaction rule extraction, retrosynthetic model training, and retrosynthetic planning. The tool is designed to be as flexible as possible, supporting the customization of each step of the pipeline to address different needs in the development of customized retrosynthetic planning solutions. The retrosynthetic planning in SynPlanner is performed by Monte Carlo Tree Search (MCTS) guided by graph neural networks for node expansion (retrosynthetic rule predictions) and evaluation (precursor synthesizability prediction). The solution can be accessed by a simple graphical user interface and a command line interface and is accompanied by a collection of tutorials. SynPlanner is available on GitHub at https://github.com/Laboratoire-de-Chemoinformatique/SynPlanner.
SynPlanner是一个用于根据反应数据设计定制化逆合成规划器的端到端工具。它包括一个反应数据管理管道(反应原子到原子映射、反应标准化和过滤)、反应规则提取、逆合成模型训练以及逆合成规划。该工具设计得尽可能灵活,支持对管道的每个步骤进行定制,以满足定制化逆合成规划解决方案开发中的不同需求。SynPlanner中的逆合成规划由蒙特卡洛树搜索(MCTS)执行,由图神经网络指导进行节点扩展(逆合成规则预测)和评估(前体合成可行性预测)。可以通过简单的图形用户界面和命令行界面访问该解决方案,并且还附带了一系列教程。SynPlanner可在GitHub上获取,网址为https://github.com/Laboratoire-de-Chemoinformatique/SynPlanner。