AI-driven precision subcellular navigation with fluorescent probes

IF 6.1 3区 医学 Q1 MATERIALS SCIENCE, BIOMATERIALS
Yingli Zhu, Yanpeng Fang, Wenzhi Huang, Weiheng Zhang, Fei Chen, Jie Dong and Wenbin Zeng
{"title":"AI-driven precision subcellular navigation with fluorescent probes","authors":"Yingli Zhu, Yanpeng Fang, Wenzhi Huang, Weiheng Zhang, Fei Chen, Jie Dong and Wenbin Zeng","doi":"10.1039/D4TB01835D","DOIUrl":null,"url":null,"abstract":"<p >Precise navigation within intricate biological systems is pivotal for comprehending cellular functions and diagnosing diseases. Fluorescent molecular probes, designed to target specific biological molecules, are indispensable tools for this endeavor. This paper delves into the revolutionary potential of artificial intelligence (AI) in crafting highly precise and effective fluorescent probes. We will discuss how AI can be employed to: design new subcellular dyes by optimizing physicochemical properties; design prospective subcellular targeting probes based on specific receptors; quantitatively explore the potential chemical laws of fluorescent molecules to optimize the optical properties of fluorescent probes; optimize the comprehensive properties of the probe and guide the construction of multifunctional targeting probes. Additionally, we showcase recent AI-driven advancements in probe development and their successful biomedical applications, while addressing challenges and outlining future directions towards transforming subcellular research, diagnostics, and drug discovery.</p>","PeriodicalId":83,"journal":{"name":"Journal of Materials Chemistry B","volume":" 43","pages":" 11054-11062"},"PeriodicalIF":6.1000,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Materials Chemistry B","FirstCategoryId":"1","ListUrlMain":"https://pubs.rsc.org/en/content/articlelanding/2024/tb/d4tb01835d","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0

Abstract

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

Abstract Image

人工智能驱动的荧光探针亚细胞精准导航。
在错综复杂的生物系统中进行精确导航,对于理解细胞功能和诊断疾病至关重要。针对特定生物分子而设计的荧光分子探针是这方面不可或缺的工具。本文将深入探讨人工智能(AI)在制作高度精确和有效的荧光探针方面的革命性潜力。我们将讨论如何利用人工智能:通过优化物理化学特性设计新型亚细胞染料;根据特定受体设计前瞻性亚细胞靶向探针;定量探索荧光分子的潜在化学规律以优化荧光探针的光学特性;优化探针的综合特性并指导多功能靶向探针的构建。此外,我们还展示了最近在探针开发方面由人工智能驱动的进展及其在生物医学方面的成功应用,同时应对挑战并概述了改变亚细胞研究、诊断和药物发现的未来方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Materials Chemistry B
Journal of Materials Chemistry B MATERIALS SCIENCE, BIOMATERIALS-
CiteScore
11.50
自引率
4.30%
发文量
866
期刊介绍: Journal of Materials Chemistry A, B & C cover high quality studies across all fields of materials chemistry. The journals focus on those theoretical or experimental studies that report new understanding, applications, properties and synthesis of materials. Journal of Materials Chemistry A, B & C are separated by the intended application of the material studied. Broadly, applications in energy and sustainability are of interest to Journal of Materials Chemistry A, applications in biology and medicine are of interest to Journal of Materials Chemistry B, and applications in optical, magnetic and electronic devices are of interest to Journal of Materials Chemistry C.Journal of Materials Chemistry B is a Transformative Journal and Plan S compliant. Example topic areas within the scope of Journal of Materials Chemistry B are listed below. This list is neither exhaustive nor exclusive: Antifouling coatings Biocompatible materials Bioelectronics Bioimaging Biomimetics Biomineralisation Bionics Biosensors Diagnostics Drug delivery Gene delivery Immunobiology Nanomedicine Regenerative medicine & Tissue engineering Scaffolds Soft robotics Stem cells Therapeutic devices
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信