用人工智能进行分子设计:小分子的进展和前景
Masato Sumita1,2, Shoichi Ishida2,3, Kazuki Yoshizoe2,4
1RIKEN Center for Advanced Intelligence Project, Nihonbashi 1-chome Mitsui Building, 15th floor, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan.
Chemical reviews
|March 1, 2026
概括
生成型人工智能 (AI) 正在通过实现新分子合成来彻底改变化学. 本综述涵盖了人工智能模型及其对化学发现和开发的影响.
科学领域:
- 化学 化学 化学
- 人工智能的人工智能
- 计算化学的计算化学
背景情况:
- 化学的进步依赖于反向解决问题的方法.
- 历史上的进展包括原子论理论,光谱学和理论化学模拟.
- 生成型人工智能 (AI) 准备在化学创新中推动下一个重大飞跃.
研究的目的:
- 审查化学中生成性AI的发展.
- 讨论各种AI模型,从传统到最先进的.
- 探索AI在合成新型分子方面的潜力和挑战.
主要方法:
- 审查传统的生成模型,如变化自动编码器.
- 分析当代模型,包括大型语言模型和扩散模型.
- 检查AI在分子设计和合成中的应用.
主要成果:
- 2016年引入的深度学习技术刺激了化学领域的AI快速发展.
- 人工智能模型为化学问题解决和发现提供了多样化的方法.
- 对于人工智能驱动的新化学实体的合成,存在显著的潜力.
结论:
- 生成型人工智能代表了现代化学中的变革力量.
- 了解AI模型对于利用它们的能力至关重要.
- 解决人工智能生成分子合成的挑战是未来进步的关键.
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