纳米技术
生物分子
药物发现
计算机科学
合成生物学
生化工程
化学
计算生物学
材料科学
工程类
生物
生物化学
作者
Raj Dave,Kshipra Pandey,Viral Khatri,Ritu Bhaumik Patel,Nidhi Gour,Dhiraj Devidas Bhatia
出处
期刊:Advanced biology
[Wiley]
日期:2025-03-17
卷期号:9 (8): e2400792-e2400792
被引量:15
标识
DOI:10.1002/adbi.202400792
摘要
Biological aggregation -induced emission (AIE) molecules offer significant advantages over synthetic organic fluorophores, particularly in biocompatibility, environmental sustainability, and emission properties in biological systems. Derived from biomolecules such as peptides, proteins, and nucleic acids, biological AIE molecules hold great promise for applications in biosensing, bioimaging, and target drug delivery. This review explores the design principles, mechanistic insights, and functional properties of biological AIE molecules whiles highlighting the role of artificial intelligence (AI) in accelerating their discovery and optimization. AI-driven approaches, including machine learning and computational modeling, are transforming the identification and synthesis of AIE molecules by enabling precise structural modifications and enhanced fluorescence efficiency. These advancements are paving the way for the integration of AIE molecules in next-generation smart biomedical devices, personalized medicine and sustainable technological applications. Emerging trends, including hybrid biomaterials, Ai-guided molecular engineering, and advanced imaging techniques, are expanding the scope of biological AIE molecules in healthcare and environmental monitoring. The synergy between AI and biological AIE molecules is unlocking new frontiers in biomedical technology, enabling transformative advancements in material science and healthcare applications, and shaping the future of fluorescence- based diagnostics and therapeutics.
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