AiZynthFinder 4.0:基于3年工业应用的经验教训的发展
Lakshidaa Saigiridharan1, Alan Kai Hassen2, Helen Lai3
1Molecular AI, Discovery Sciences, R&D, AstraZeneca, Gothenburg, Sweden. lakshidaa.saigiridharan@astrazeneca.com.
Journal of cheminformatics
|May 22, 2024
概括
AiZynthFinder是一个开源软件,用于回复合成规划,已经更新了新的功能,如反应过和高级搜索算法. 一个大规模的分析突出了它在预测合成路线方面的优缺点.
科学领域:
- 计算化学是一种计算化学.
- 化学信息学 化学信息学
- 有机合成 有机合成
背景情况:
- 该AiZynthFinder包最初于2020年发布,用于回复合成规划.
- 基于用户反的持续开发导致了显著的改进.
研究的目的:
- 为了提供对AiZynthFinder软件包的最新概述.
- 引入新的功能和改进.
- 在大量分子数据集上分析软件的性能.
主要方法:
- 实施新功能,包括反应过政策和评分框架.
- 整合各种单步回复合成模型的支持.
- 开发额外的搜索算法.
- 几十万个目标分子的大规模计算分析.
主要成果:
- 更新的AiZynthFinder包括增强的反应过,评分框架和多种搜索算法.
- 分析揭示了对路线形状,库存使用和反应空间利用的见解.
- 确定了反合成方法的优点和弱点.
结论:
- AiZynthFinder是一个快速,强大的,可扩展的开源工具,用于回复合成规划.
- 该软件用于教育目的,并提供核心合成预测算法的参考实现.
- 开源发布旨在促进合成路线预测方法的创新.
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