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Updated: Sep 15, 2025

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人类指导的合成计划通过提示提示.
Annie M Westerlund1, Lakshidaa Saigiridharan1, Samuel Genheden1
1Molecular AI, Discovery Sciences, R&D, AstraZeneca 43183 Gothenburg Sweden.
Chemical science
|July 16, 2025
概括
化学家现在可以指导人工智能驱动的逆合成规划. 在AiZynthFinder中的新方法结合了专家知识,提高了为复杂分子找到可行的合成路径的成功率.
科学领域:
- 计算化学是一种计算化学.
- 有机合成规划 有机合成规划
- 化学领域的人工智能
背景情况:
- 像AiZynthFinder这样的当前人工智能工具在回复合成方面表现出色,但缺乏人类专家知识集成.
- 纳入化学家对键断开的见解对于规划分子集的高效,联合合成路径至关重要.
研究的目的:
- 在AiZynthFinder中开发一种新的由人类指导的多步逆合成策略.
- 使化学家能够将先前的知识,如特定的债券约束,输入到AI规划过程中.
主要方法:
- 在AiZynthFinder中实施了人类指导的提示策略.
- 开发了一个过器来排除违反用户定义的债券约束的反应.
- 基于基准的断电策略,将断电意识的变压器与多目标搜索相结合.
主要成果:
- 这种新的方法显著提高了满足债券约束的路线生成成功率 (75.57%对比54.80%在PaRoutes数据集上).
- 成功地将该策略应用于一组药物分子,为十个目标中的八个产生联合合成路径.
结论:
- 人类引导的反合成通过提示增强了AI的规划能力.
- 开发的战略有效地结合了专业的化学知识,导致更成功和受限制的合成路径生成.
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