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English(EN) My Chemical Harness: Evolutionary Molecular Design over Synthetic Pathways with Large Language Model Agents

LLM代理指导进化式分子设计用于药物发现

研究人员开发了“My Chemical Harness”,一个将大型语言模型(LLM)与进化算法相结合的分子设计新框架。该系统使用LLM作为高级策略控制器,指导合成路径的搜索,而不是直接生成分子。该框架确保生成的路径可以使用确定性化学工具执行,并通过分子预言机进行评分,防止LLM引起的幻觉。该方法在一个可溶性环氧化物水解酶代理任务上取得了最先进的性能,证明了受约束的LLM代理在无需广泛训练的情况下进行分子发现的潜力。 AI

影响 这种方法可以通过实现更有效和可靠的新分子生成,以及可行的合成路线,来加速药物发现。

排序理由 该集群包含一篇详细介绍分子设计新方法的学术论文。

在 arXiv cs.NE (Neural & Evolutionary) 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

LLM代理指导进化式分子设计用于药物发现

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该集群包含一篇详细介绍分子设计新方法的学术论文。
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报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · C\'esar Ojeda, Darius A. Faroughy, Maryam Karimi, Payam Zarrintaj, Mir Mehdi Seyedebrahimi, Mart\'in Carballo-Pacheco ·

    我的化学束缚:使用大型语言模型代理进行进化分子设计的合成路径

    arXiv:2606.11256v1 Announce Type: cross Abstract: Designing molecules with target properties is most useful when candidate structures are accompanied by feasible synthetic routes. We introduce My Chemical Harness, a route-native evolutionary framework for goal-directed molecular …

  2. arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Martín Carballo-Pacheco ·

    我的化学束缚:使用大型语言模型代理进行进化分子设计的合成路径

    Designing molecules with target properties is most useful when candidate structures are accompanied by feasible synthetic routes. We introduce My Chemical Harness, a route-native evolutionary framework for goal-directed molecular design in which the search population consists of …