Biological AIE Molecules: Innovations in Synthetic Design and AI‐Driven Discovery

Advanced Biology, Journal Year: 2025, Volume and Issue: unknown

Published: March 17, 2025

Abstract Biological aggregation ‐induced emission (AIE) molecules offer significant advantages over synthetic organic fluorophores, particularly in biocompatibility, environmental sustainability, and properties biological systems. Derived from biomolecules such as peptides, proteins, nucleic acids, AIE hold great promise for applications biosensing, bioimaging, target drug delivery. This review explores the design principles, mechanistic insights, functional of whiles highlighting role artificial intelligence (AI) accelerating their discovery optimization. AI‐driven approaches, including machine learning computational modeling, are transforming identification synthesis by enabling precise structural modifications enhanced fluorescence efficiency. These advancements paving way integration next‐generation smart biomedical devices, personalized medicine sustainable technological applications. Emerging trends, hybrid biomaterials, Ai‐guided molecular engineering, advanced imaging techniques, expanding scope healthcare monitoring. The synergy between AI is unlocking new frontiers technology, transformative material science applications, shaping future fluorescence‐ based diagnostics therapeutics.

Language: Английский

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Fluorescent probes in autoimmune disease research: current status and future prospects

Journal of Translational Medicine, Journal Year: 2025, Volume and Issue: 23(1)

Published: April 9, 2025

Autoimmune diseases (AD) present substantial challenges for early diagnosis and precise treatment due to their intricate pathogenesis varied clinical manifestations. While existing diagnostic methods strategies have advanced, sensitivity, specificity, real-time applicability in settings continue exhibit significant limitations. In recent years, fluorescent probes emerged as highly sensitive specific biological imaging tools, demonstrating potential AD research.This review examines the response mechanisms historical evolution of various types probes, systematically summarizing latest research advancements application autoimmune diseases. It highlights key applications biomarker detection, dynamic monitoring immune cell functions, assessment drug efficacy. Furthermore, this article analyzes technical currently encountered probe development proposes directions future research. With ongoing materials science, nanotechnology, bioengineering, are anticipated achieve higher sensitivity enhanced functional integration, thereby facilitating monitoring, innovative Overall, possess scientific significance value both related diseases, signaling a new era personalized precision medicine.

Language: Английский

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A Practical Application of Machine Learning for the Development of Metallole-Based Fluorescent Materials

Molecules, Journal Year: 2025, Volume and Issue: 30(8), P. 1686 - 1686

Published: April 10, 2025

We have built a prediction model of the fluorescence quantum yields metalloles. Based on suggestion by model, we synthesized 10 fluorescent molecules to confirm accuracy. By measuring molecules, it was demonstrated that our reasonably classified with an accuracy 0.7. In particular, low were perfectly predicted for demonstrating usefulness screen out weakly from candidates. On other hand, precision 0.5 attributed bias in training dataset containing many fluorine-containing high yields. Our then revised generator candidate molecular structures more efficient development materials taking applicability domain into account, and improvement confirmed owing increment dataset.

Language: Английский

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AI-driven precision subcellular navigation with fluorescent probes

Journal of Materials Chemistry B, Journal Year: 2024, Volume and Issue: 12(43), P. 11054 - 11062

Published: Jan. 1, 2024

Precise navigation within intricate biological systems is pivotal for comprehending cellular functions and diagnosing diseases. Fluorescent molecular probes, designed to target specific molecules, are indispensable tools this endeavor. This paper delves into the revolutionary potential of artificial intelligence (AI) in crafting highly precise effective fluorescent probes. We will discuss how AI can be employed to: design new subcellular dyes by optimizing physicochemical properties; prospective targeting probes based on receptors; quantitatively explore chemical laws molecules optimize optical properties probes; comprehensive probe guide construction multifunctional Additionally, we showcase recent AI-driven advancements development their successful biomedical applications, while addressing challenges outlining future directions towards transforming research, diagnostics, drug discovery.

Language: Английский

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