Hydrophobic tag tethering degrader as a promising paradigm of protein degradation: Past, present and future perspectives

小分子 计算生物学 蛋白质降解 渲染(计算机图形) 泛素 药物发现 化学 生物 生物信息学 计算机科学 生物化学 基因 计算机图形学(图像)
作者
Si Ha,Jiacheng Zhu,Hua Xiang,Guoshun Luo
出处
期刊:Chinese Chemical Letters [Elsevier]
卷期号:35 (8): 109192-109192 被引量:11
标识
DOI:10.1016/j.cclet.2023.109192
摘要

Small molecule inhibitors have dominated the pharmaceutical landscape for a long time as the primary therapeutic paradigm targeting pathogenic proteins. However, their efficacy heavily relies on the amino acid composition and spatial constitution of proteins, rendering them susceptible to drug resistance and failing to target undruggable proteins. In recent years, the advent of targeted protein degradation (TPD) technology has captured substantial attention from both industry and academia. Employing an event-driven mode, TPD offers a novel approach to eliminate pathogenic proteins by promoting their degradation, thus circumventing the limitations associated with traditional small molecule inhibitors. Hydrophobic tag tethering degrader (HyTTD) technology represents one such TPD approach that is currently in the burgeoning stage. HyTTDs employ endogenous protein degradation systems to induce the degradation of target proteins through the proteasome pathway, which displays significant potential for medical value. In this review, we provide a comprehensive overview of the development history and the reported mechanism of action of HyTTDs. Additionally, we delve into the physiological roles, structure-activity relationships, and medical implications of HyTTDs targeting various disease-associated proteins. Moreover, we propose insights into the challenges that necessitate resolution for the successful development of HyTTDs, with the ultimate goal of initiating a new age of clinical treatment leveraging the immense potential of HyTTDs.
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
烈日骄阳发布了新的文献求助10
刚刚
2秒前
1289436完成签到,获得积分10
3秒前
3秒前
青年从头开始完成签到,获得积分10
4秒前
龙龙不卷发布了新的文献求助10
6秒前
apple完成签到,获得积分10
6秒前
7秒前
kaixin完成签到,获得积分10
7秒前
共享精神应助科研通管家采纳,获得10
7秒前
无花果应助科研通管家采纳,获得10
7秒前
852应助科研通管家采纳,获得10
7秒前
彭于晏应助喻雅晴采纳,获得10
7秒前
7秒前
搜集达人应助科研通管家采纳,获得10
7秒前
科研通AI2S应助科研通管家采纳,获得10
7秒前
烟花应助科研通管家采纳,获得10
8秒前
华仔应助科研通管家采纳,获得10
8秒前
wy.he应助科研通管家采纳,获得10
8秒前
李健应助科研通管家采纳,获得10
8秒前
沐沐完成签到,获得积分20
8秒前
科研通AI2S应助Felix采纳,获得10
9秒前
无花果应助汎影采纳,获得10
9秒前
烈日骄阳完成签到,获得积分10
9秒前
尊敬乐蕊完成签到,获得积分10
10秒前
朴实山兰发布了新的文献求助10
12秒前
Ava应助老九采纳,获得10
12秒前
脑洞疼应助星河采纳,获得10
14秒前
丘比特应助无情慕卉采纳,获得10
15秒前
高高亿先完成签到,获得积分10
16秒前
16秒前
毛豆应助hwq采纳,获得10
16秒前
沐沐发布了新的文献求助30
16秒前
英俊的铭应助lingzi670采纳,获得10
17秒前
白鹭立雪完成签到,获得积分10
18秒前
调研昵称发布了新的文献求助10
19秒前
朴实山兰完成签到,获得积分10
19秒前
21秒前
万能图书馆应助汎影采纳,获得10
21秒前
5552222完成签到,获得积分10
21秒前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Effect of reactor temperature on FCC yield 2000
Very-high-order BVD Schemes Using β-variable THINC Method 1020
PraxisRatgeber: Mantiden: Faszinierende Lauerjäger 800
Near Infrared Spectra of Origin-defined and Real-world Textiles (NIR-SORT): A spectroscopic and materials characterization dataset for known provenance and post-consumer fabrics 610
Mission to Mao: Us Intelligence and the Chinese Communists in World War II 600
Promoting women's entrepreneurship in developing countries: the case of the world's largest women-owned community-based enterprise 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3304512
求助须知:如何正确求助?哪些是违规求助? 2938474
关于积分的说明 8488910
捐赠科研通 2612923
什么是DOI,文献DOI怎么找? 1427046
科研通“疑难数据库(出版商)”最低求助积分说明 662889
邀请新用户注册赠送积分活动 647436