人工智能在民族药理学,制药行业及其应用
Ravikiran Maheshrao Suryawanshi1, Pratik Deepak Chaudhari1, Ritu M Gilhotra2
1RC Patel Institute of Pharmacy, Shirpur 425405, India.
Annales pharmaceutiques francaises
|December 3, 2025
概括
人工智能 (AI) 通过分析植物数据和预测生物活性来增强药物发现的民族药理学. 人工智能与传统知识的整合有望实现基于证据的草药,尽管验证和监管需要改进.
科学领域:
- 民族医学和计算生物学
- 药理学和生物信息学 药理学和生物信息学
背景情况:
- 对药用植物的传统知识对于药物发现至关重要.
- 民族药理学传统上分析这些知识.
- 人工智能 (AI) 提供了先进的工具来增强这些实践.
研究的目的:
- 审查包括机器学习和深度学习在内的AI如何升级药物研究和药物监管.
- 探索人工智能在分析族裔植物学数据中的作用,以预测生物剂和草药混合物.
- 评估AI在基于OMICS的研究中的潜力,以识别来自药用植物的制药化合物.
主要方法:
- 在民族药理学当代人工智能应用的审查.
- 分析人工智能驱动的数据挖掘,分子对接和生物活性预测.
- 检查AI在基于奥米克的研究 (基因组学,蛋白质组学,代谢组学) 中的作用.
主要成果:
- 人工智能显著提高了传统医学的数据分析,预测建模和质量控制.
- 人工智能促进了基于奥米克的研究,以识别来自植物的新药化合物.
- 人工智能支持生物多样性保护和传统知识的伦理保护.
结论:
- 人工智能在民族药理学中的整合显示了基于证据的草药开发的巨大潜力.
- 标准化,验证和监管框架需要进一步发展.
- 由人工智能驱动的工具可以将传统知识与现代制药科学结合起来,用于未来的药物发现.
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