SynPlanner:一个端到端的综合规划工具。

IF 5.6 2区 化学 Q1 CHEMISTRY, MEDICINAL
Tagir Akhmetshin, Dmitry Zankov, Philippe Gantzer, Dmitry Babadeev, Anna Pinigina, Timur Madzhidov, Alexandre Varnek
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引用次数: 0

摘要

SynPlanner是一个端到端工具,用于根据反应数据设计定制的逆合成规划器。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、反合成模型训练和反合成计划。该工具被设计得尽可能灵活,支持管道的每个步骤的定制,以满足定制的反合成规划解决方案开发中的不同需求。SynPlanner中的反合成规划采用蒙特卡罗树搜索(MCTS)进行,通过图神经网络进行节点展开(反合成规则预测)和评估(前体可合成性预测)。该解决方案可以通过简单的图形用户界面和命令行界面访问,并附带一系列教程。SynPlanner可在GitHub上获得https://github.com/Laboratoire-de-Chemoinformatique/SynPlanner。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SynPlanner: An End-to-End Tool for Synthesis Planning.

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.

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来源期刊
CiteScore
9.80
自引率
10.70%
发文量
529
审稿时长
1.4 months
期刊介绍: The Journal of Chemical Information and Modeling publishes papers reporting new methodology and/or important applications in the fields of chemical informatics and molecular modeling. Specific topics include the representation and computer-based searching of chemical databases, molecular modeling, computer-aided molecular design of new materials, catalysts, or ligands, development of new computational methods or efficient algorithms for chemical software, and biopharmaceutical chemistry including analyses of biological activity and other issues related to drug discovery. Astute chemists, computer scientists, and information specialists look to this monthly’s insightful research studies, programming innovations, and software reviews to keep current with advances in this integral, multidisciplinary field. As a subscriber you’ll stay abreast of database search systems, use of graph theory in chemical problems, substructure search systems, pattern recognition and clustering, analysis of chemical and physical data, molecular modeling, graphics and natural language interfaces, bibliometric and citation analysis, and synthesis design and reactions databases.
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