药物发现的基础模型:今天的惊人增长,明天的变革潜力?
Julien Delile1, Srayanta Mukherjee2, Judith Mueller3
1Boston Consulting Group, BCG X AI Science Institute, 80 Charlotte Street, London W1T 4DF, UK.
Drug discovery today
|October 30, 2025
概括
基础模型是一种人工智能,正在快速推进制药研究和开发. 本综述强调了它们在药物发现中的越来越多的应用,从目标识别到临床前研究.
科学领域:
- 人工智能的人工智能
- 药物发现 药物发现 药物发现
- 制药研发领域的研发工作.
背景情况:
- 在过去的十年中,人工智能 (AI) 取得了重大进展.
- 基础模型,可适应各种任务的通用AI算法,是关键的创新.
- 最近的兴趣集中在将这些模型应用于制药研究和开发上.
研究的目的:
- 审查药物发现中的基础模型的当前格局.
- 分析这些模型的快速增长和应用.
- 讨论基础模型驱动药物发现的未来潜力.
主要方法:
- 文献综述和对已发表的药物发现基础模型的分析.
- 在整个研发管道中对模型应用进行分类.
- 探索趋势和未来的方向.
主要成果:
- 自2022年以来,药物发现的基础模型数量呈指数级增长,目前已发表了200多个模型.
- 这些模型涉及各种应用,包括目标发现,分子性质优化和临床前研究.
- 现在可以使用各种基础模型来完成各种药物发现任务.
结论:
- 基金会模型正在迅速改变药物发现和制药研发.
- 这些模型的扩散表明研究方法的重大转变.
- 预计未来的药物发现工作将受到基础模型进步的严重影响.
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