药物发现和开发的大型语言模型
Yizhen Zheng1, Huan Yee Koh1,2, Jiaxin Ju3
1Department of Data Science and AI, Monash University, Melbourne, VIC, Australia.
Patterns (New York, N.Y.)
|October 27, 2025
概括
大型语言模型 (LLM) 正在通过增强疾病机制理解,新药设计和临床试验优化来彻底改变药物发现和开发. 这些人工智能工具在整个制药管道中提供了变革性的潜力.
科学领域:
- 计算生物学 计算生物学
- 药理学 药理学是指药理学的学科.
- 人工智能4科学 AI4科学
背景情况:
- 大型语言模型 (LLM) 代表了科学研究中的显著范式转变.
- 它们在药物发现和开发中的应用正在迅速扩大.
- 法律法学提供了用于复杂数据解释和流程优化的新方法.
研究的目的:
- 审查LLM在药物发现和开发中的不断扩大的作用.
- 突出LLMs如何彻底改变制药管道的各个阶段.
- 为研究人员和从业人员提供对LLMs变革性影响的见解.
主要方法:
- 审查当前文献和LLMs在药理学中的应用.
- 分析LLM在理解疾病机制方面的能力.
- 研究LLM在新药设计和临床试验优化中的实用性.
主要成果:
- 临床医学仪器可以发现目标疾病的联系,并解释复杂的生物医学数据.
- 这些模型增强了药物分子设计,并预测了疗效和安全性.
- 临床临床临床临床临床临床临床临床临床临床临床临床临床临床临床临床临床临床临床临床临床临床临床临床临床临床临床临床临床临床临床临床临床临床临床
结论:
- 临床医学专业准备好改变药物发现和开发.
- 它们的整合为制药创新提供了前所未有的机会.
- 进一步的研究和采用对于实现医学LLM的全部潜力至关重要.
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