革命医药化学:人工智能 (AI) 在早期药物发现中的应用
Ri Han1, Hongryul Yoon1, Gahee Kim1
1College of Pharmacy, Chung-Ang University, Seoul 06974, Republic of Korea.
Pharmaceuticals (Basel, Switzerland)
|September 28, 2023
概括
人工智能 (AI) 通过预测分子特性和相互作用来加速药物发现. 实现人工智能在药物化学中的全部潜力需要解决数据挑战并促进跨学科合作.
科学领域:
- 药用化学 医学化学
- 计算化学计算化学
- 药物发现 药物发现 药物发现
背景情况:
- 人工智能 (AI) 越来越多地被整合到制药研究中.
- 人工智能为识别新型化学实体提供了机会和挑战.
- 本综述侧重于人工智能对药物化学的变革性影响.
研究的目的:
- 审查人工智能在药物化学中的应用.
- 在药物查和设计中讨论机器学习和深度学习.
- 突出AI在加速早期药物发现中的作用.
主要方法:
- 在预测蛋白质结构方面对人工智能应用的审查.
- 在预测药物向相互作用时使用人工智能的分析.
- 概述人工智能用于预测分子性质,包括毒性.
主要成果:
- 人工智能显著加速了药物发现过程.
- 人工智能有助于预测蛋白质结构和药物向相互作用.
- 人工智能增强了对分子特性和药物相互作用的理解.
结论:
- 数据质量和技术限制是目前药物发现中的AI挑战.
- 人工智能已经推出了用于预测药物相互作用和特性的新方法.
- 跨学科的合作对于最大限度地发挥AI在药物化学中的潜力至关重要.
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