Molecular Recognition with Macrocyclic Receptors for Application in Precision Medicine

受体 化学 计算机科学 人工智能 计算生物学 生物化学 生物
作者
Yu‐Chen Pan,Jia-Hong Tian,Dong‐Sheng Guo
出处
期刊:Accounts of Chemical Research [American Chemical Society]
卷期号:56 (24): 3626-3639 被引量:3
标识
DOI:10.1021/acs.accounts.3c00585
摘要

ConspectusMacrocyclic receptors can serve as alternatives to natural recognition systems as recognition tools. They provide effectively preorganized cavities to encapsulate guests via host–guest interactions, thereby affecting the physiochemical properties of the guests. Macrocyclic receptors exhibit chemical and thermal stabilities higher than those of natural receptors and thus are expected to resist degradation inside the body. This reduces the risk of harmful degradation byproducts and ensures optimal levels of effectiveness. Macrocyclic receptors have precise molecular weights and well-defined structures; this ensures their batch-to-batch reproducibility, which is critical for ensuring quality and effectiveness levels. Moreover, macrocyclic receptors exhibit broad modification tunabilities, rendering them adaptable to various guests. Molecular recognition is the basis of numerous biological processes. Macrocyclic receptors may display considerable potential for application in diagnosing and treating diseases, depending on the host–guest recognition of bioactive molecules. However, the binding affinities and selectivities of macrocyclic receptors toward bioactive molecules are generally insufficient, which may lead to problems such as low diagnosis accuracies, off-target leaking, and interference with normal functions. Therefore, addressing the challenge of the strong and specific complexation of bioactive molecules and macrocyclic receptors is imperative.To overcome this challenge, we proposed the innovative strategies of longitudinal cavity extension and coassembled heteromultivalent recognition for application in the recognition of small molecules and biomacromolecules, respectively. The deepened cavity provides a stronger hydrophobic effect and a larger interaction area while maintaining the framework rigidity. By coassembling two macrocyclic amphiphiles into one ensemble, we achieved the desired heteromultivalent recognition. This strategy affords the necessary binding properties while preventing the requirement of tedious steps and site mismatch in covalent synthesis. Using these two strategies, we achieved specific and strong binding of macrocyclic receptors to various bioactive molecules including biomarkers, drugs, and disease-related peptides/proteins. We then applied these macrocyclic receptor-based recognition systems in biosensing and bioimaging, drug delivery, and therapeutics.In this Account, we summarize the strategies we used in the recognition of small molecules and biomacromolecules. Thereafter, we discuss their applications in precision medicine, involving the (1) sensing of biomarkers and imaging of lesion sites, which are critical in the early screening of diseases and accurate diagnoses; (2) precise loading and targeted delivery of drugs, which are crucial in improving their therapeutic efficacies and reducing their side effects; and (3) capture and removal of disease-related biomacromolecules, which are significant for precise intervention in life processes. Finally, we propose recommendations for the further development of macrocyclic receptor-based recognition systems in biomedicine. Macrocyclic receptors exhibit considerable potential for research, and continued investigation may not only expand the applications of supramolecular chemistry but also open novel avenues for the development of precision medicine.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
黄嘉慧发布了新的文献求助10
刚刚
刚刚
2秒前
2秒前
xrkxrk完成签到 ,获得积分10
3秒前
HughWang完成签到,获得积分10
4秒前
可爱的函函应助刘颖玉采纳,获得10
5秒前
祖小凝发布了新的文献求助10
6秒前
lala完成签到,获得积分10
6秒前
11秒前
112完成签到,获得积分10
14秒前
14秒前
14秒前
弋戈发布了新的文献求助10
15秒前
15秒前
毛聋聋完成签到 ,获得积分10
15秒前
Jasper应助娃哈哈采纳,获得10
17秒前
songsssssj发布了新的文献求助10
18秒前
别吃我的鱼完成签到,获得积分10
20秒前
22秒前
上官若男应助涨涨涨采纳,获得10
25秒前
欣妹儿发布了新的文献求助10
28秒前
rocky15应助myc采纳,获得10
29秒前
30秒前
songsssssj完成签到 ,获得积分10
30秒前
打打应助研友_8KA32n采纳,获得10
32秒前
阔达的扬发布了新的文献求助10
35秒前
丢丢银发布了新的文献求助10
36秒前
不安的颤完成签到,获得积分20
38秒前
mmh完成签到,获得积分10
40秒前
bkagyin应助呆萌的忆彤采纳,获得30
41秒前
long发布了新的文献求助10
42秒前
星星会开花完成签到,获得积分10
42秒前
43秒前
李健应助纪震宇采纳,获得10
43秒前
43秒前
EarlyBird完成签到,获得积分10
43秒前
47秒前
我是老大应助restudy68采纳,获得10
47秒前
老迟到的念双完成签到,获得积分10
48秒前
高分求助中
Sustainable Land Management: Strategies to Cope with the Marginalisation of Agriculture 1000
Corrosion and Oxygen Control 600
Python Programming for Linguistics and Digital Humanities: Applications for Text-Focused Fields 500
Love and Friendship in the Western Tradition: From Plato to Postmodernity 500
Heterocyclic Stilbene and Bibenzyl Derivatives in Liverworts: Distribution, Structures, Total Synthesis and Biological Activity 500
重庆市新能源汽车产业大数据招商指南(两链两图两池两库两平台两清单两报告) 400
Division and square root. Digit-recurrence algorithms and implementations 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2548718
求助须知:如何正确求助?哪些是违规求助? 2176691
关于积分的说明 5605713
捐赠科研通 1897439
什么是DOI,文献DOI怎么找? 946971
版权声明 565447
科研通“疑难数据库(出版商)”最低求助积分说明 503980