利迪亚:基于语言的智能药物发现代理
Reza Averly1, Frazier N Baker1, Ian A Watson2
1Department of Computer Science and Engineering, The Ohio State University, USA.
我们开发了LIDDiA,这是一种用于自主药物发现的AI代理. LIDDiA有效地导航复杂的药物发现过程,生成分子并识别癌症治疗的新药候选者.
科学领域:
- 化学领域的人工智能
- 计算机化药物发现.
- 药品化学 药品化学 是一个
背景情况:
- 药物发现是一个漫长,昂贵和复杂的过程,严重依赖于人类的专业知识.
- 现有的人工智能 (AI) 工具可以加速特定任务,但缺乏端到端导航功能.
- 需要一个智能系统来自主指导药物发现管道.
研究的目的:
- 介绍LIDDiA,一个自主的人工智能代理设计用于in silico药物发现.
- 为了证明LIDDiA在整个药物发现过程中的导航能力.
- 将 LIDDiA 呈现为一种低成本,可适应的解决方案,利用大型语言模型.
主要方法:
- 开发LIDDiA,一个使用大型语言模型进行推理的自主代理.
- 在30个临床相关目标中对LIDDiA进行了体评估.
- 评估LIDDiA在化学空间中平衡勘探和开发的能力.
主要成果:
- 在超过70%的测试目标中,LIDDiA成功生成了符合制药标准的分子.
- 代理商在化学搜索空间内展示了智能勘探和开发.
- 确定了一种针对AR/NR3C4的新型候选药物,该药物对前列腺癌和乳腺癌至关重要.
结论:
- LIDDiA代表了自主药物发现的重大进展.
- 人工智能代理提供了一种具有成本效益和适应性的方法来识别潜在的治疗方法.
- LIDDiA成功地确定了AR/NR3C4的有希望的候选者,突出了其在瘤学药物开发中的潜力.
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