大型语言模型促进现代分子生物学和新药开发
Xiao-Huan Liu1, Zhen-Hua Lu2, Tao Wang1
1School of Biological Science, Jining Medical University, Jining, China.
Frontiers in pharmacology
|January 8, 2025
概括
大型语言模型 (LLM) 正在通过增强人工智能通信和简化研究来彻底改变制药药物开发. 这些先进的AI工具有望加速创新和革命性的新药的创造.
科学领域:
- 信息技术 信息技术 信息技术
- 生物技术是生物技术.
- 制药科学 制药科学
背景情况:
- 人工智能 (AI) 和深度学习 (DL) 正在改变医疗保健.
- 大型语言模型 (LLM) 促进研究人员和人工智能之间的高效沟通.
- 神经网络 (NN) 架构是LLM自然语言处理能力的基础.
研究的目的:
- 审查制药行业LLM应用的进展,重点关注药物开发.
- 探索法学士的潜在机制.
- 确定LLMs在这一领域有前途的实际应用和挑战.
主要方法:
- 在制药研究中LLM应用的综合文献综述.
- 分析核心的LLM机制和神经网络架构.
- 在药物开发中评估当前和潜在的使用案例.
主要成果:
- 在提高药物发现和开发过程方面,LLM显著有前途.
- 一些LLM应用程序正在成为非常有效的工具.
- 已经确定了与LLM实施相关的技术和道德挑战.
结论:
- 法律学士准备在开发创新药品方面发挥关键作用.
- 预计LLM的整合将加速新药的向市场提供.
- 持续的研究和道德考虑对于最大限度地发挥药物开发中的LLM潜力至关重要.
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