蛋白质和核酸研究人工智能预见技术的进步
Amol D Gholap1, Abdelwahab Omri2
1Department of Pharmaceutics, St. John Institute of Pharmacy and Research, Palghar, Maharashtra 401404, India.
Drug discovery today
|April 19, 2025
概括
人工智能 (AI) 和机器学习 (ML) 正在通过为药物开发提供创新工具来改变药物研究. 这些技术加速了发现,降低了成本,并使个性化医疗战略成为可能.
科学领域:
- 制药研究 制药研究
- 生物技术是生物技术.
- 计算生物学是一种计算生物学.
背景情况:
- 传统药物开发是昂贵和耗时的.
- 复杂的生物系统带来了重大挑战.
- 人工智能和机器学习的进步提供了新的解决方案.
研究的目的:
- 审查当前AI和ML在制药研究中的应用.
- 要突出创新的工具,Web服务器和数据库.
- 讨论AI/ML对药物开发挑战的影响.
主要方法:
- 在药品中AI/ML应用的文献综述.
- 对蛋白质和核酸研究的AI工具的分析.
- 检查AI在个性化医疗和生物标志物发现中的作用.
主要成果:
- 人工智能和机器学习正在彻底改变制药研究,尤其是分子研究.
- 有许多创新的AI工具,Web服务器和数据库可用.
- 人工智能有效地解决了药物开发的高成本和长时间等挑战.
结论:
- 人工智能和机器学习的整合加速了药物发现,降低了开发成本.
- 人工智能对个性化医疗和癌症治疗具有重大潜力.
- 未来的制药研究将越来越多地受到AI和ML的推动.
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