生物活性的研究进展和前景:整合人工智能,分子模拟和仪器分析技术
Mingshuo Cao1, Xiaobo Yang2, Lixian Chen3
1National Engineering Research Center for Agri-Product Quality Traceability, Beijing Technology and Business University, Beijing 100048, China; School of Food and Health, Beijing Technology and Business University, Beijing 100048, China.
Food chemistry
|January 29, 2026
概括
人工智能 (AI) 和分子模拟加速了用于功能性食品和生物医学的生物活性的发现. 这些先进的方法克服了传统查的局限性,使有效的开发和新的健康应用成为可能.
科学领域:
- 食品科学 食品科学 食品科学
- 生物医学科学 生物医学科学
- 计算生物学 计算生物学
背景情况:
- 生物活性对于功能性食品和生物医学至关重要,因为它们具有不同的生理作用.
- 传统的类选方法是缓慢的,昂贵的,并且无法扩展,限制了开发.
- 需要高效,高通量方法来识别生物活性.
研究的目的:
- 审查人工智能,分子模拟和仪器分析在生物活性研究中的协同应用.
- 突出这些技术如何克服传统检测的局限性.
- 探索这些综合方法在精密营养和功能性食品中的潜力.
主要方法:
- 对人工智能,分子模拟和类研究中的仪器分析的当前文献的综述.
- 对人工智能技术的数据驱动预测和选能力的分析.
- 检查计算和分析技术的协同整合.
主要成果:
- 人工智能能够有效地基于数据进行新型生物活性的预测和选.
- 人工智能,分子模拟和仪器分析的结合提高了查效率和机械理解.
- 这些综合技术为生物活性的开发提供了可扩展的解决方案.
结论:
- 人工智能,分子模拟和现代仪器分析协同实现了生物活性的高通量查和机械分析.
- 这些先进技术显著提高了开发的效率,克服了传统的局限性.
- 这种整合为生物活性在精密营养,功能性食品和促进人类健康方面开辟了新的途径.
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