在药物发现中利用人工智能:变革性的方法和未来方向
Damini Dilip Salunke1, Sunil Thitame1, Ashwini Aher1
1Department of Biomedical Science, School of Allied Health Science, Datta Meghe Institute of Higher Education and Research, Wardha, Maharashtra, India.
Journal of pharmacy & bioallied sciences
|June 13, 2025
概括
人工智能 (AI) 正在通过机器学习 (ML) 和深度学习 (DL) 方法彻底改变药物发现. 本综述探讨了当前的人工智能平台和制药研究的未来机会.
科学领域:
- 制药科学 制药科学
- 计算化学的计算化学
- 生物技术是生物技术.
背景情况:
- 药物发现是制药行业中一个复杂而具有挑战性的领域.
- 人工智能 (AI) 已经成为解决这些挑战的强大工具.
- 人工智能提供了新的方法来加速和优化药物开发的各个阶段.
研究的目的:
- 审查目前在药物发现中使用的人工智能 (AI) 程序和平台.
- 概述AI在制药行业的未来前景和潜力.
- 讨论人工智能在药物发现中的缺点和机遇.
主要方法:
- 审查现有的文献和行业报告,关于AI在药物发现中的应用.
- 分析各种人工智能方法,包括深度学习 (DL) 和机器学习 (ML).
- 检查AI在关键阶段的作用,如虚拟选和目标识别.
主要成果:
- 人工智能,特别是DL和ML,越来越多地被整合到药物发现工作流中.
- 当前的人工智能平台在加速虚拟选和目标识别方面显示出巨大的潜力.
- 该评论提供了当前药物发现中的AI景观的快照.
结论:
- 人工智能是制药行业创新的战略武器.
- 药物发现的未来将在很大程度上受到人工智能的进步的影响.
- 了解人工智能的当前状态,未来潜力,缺点和机遇对于利益相关者来说至关重要.
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