大型语言模型为化学家开辟了人工智能辅助分子设计的新途径
Shoichi Ishida1,2, Tomohiro Sato3, Teruki Honma3
1Graduate School of Medical Life Science, Yokohama City University, 1-7-29, Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa, 230-0045, Japan. ishida.sho.nm@yokohama-cu.ac.jp.
Journal of cheminformatics
|March 25, 2025
概括
这项研究介绍了ChatChemTS,一个大型语言模型 (LLM) 聊天机器人,简化了化学家的AI驱动分子设计. 它使用户能够通过简单的聊天交互来设计功能分子,使先进的AI工具更容易获得.
科学领域:
- 计算化学计算化学
- 化学中的人工智能.
背景情况:
- 基于人工智能的分子设计工具提供了创建功能分子的新方法.
- 有效使用这些AI工具需要专门的AI知识和技能.
研究的目的:
- 开发一个大型语言模型 (LLM) 驱动的聊天机器人,ChatChemTS,用于用户友好的基于AI的分子设计.
- 通过聊天交互来实现分子设计,包括自动化奖励功能构建.
主要方法:
- 开发了一个LLM驱动的聊天机器人ChatChemTS.
- 与基于AI的分子发生器 (ChemTSv2) 集成.
- 通过新的设计案例 (染色体,抗癌药物) 进行演示.
主要成果:
- 通过聊天,ChatChemTS促进了基于AI的分子设计.
- 对于所需的分子性质,自动构建奖励函数.
- 染色体和EGFR抑制剂的成功新设计.
结论:
- 士可以有效地利用复杂的软件,如AI分子发电机.
- ChatChemTS提高了化学家对先进的人工智能驱动分子设计的可访问性.
- 作为一个开源软件包,ChatChemTS 是可用的.
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