亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Importance of Three-Body Problems and Protein–Protein Interactions in Proteolysis-Targeting Chimera Modeling: Insights from Molecular Dynamics Simulations

嵌合体(遗传学) 蛋白质水解 分子动力学 计算生物学 化学 计算化学 生物 生物化学 基因
作者
Wenqing Li,Jiabin Zhang,Li Guo,Qiantao Wang
出处
期刊:Journal of Chemical Information and Modeling [American Chemical Society]
卷期号:62 (3): 523-532 被引量:39
标识
DOI:10.1021/acs.jcim.1c01150
摘要

Proteolysis-targeting chimeras (PROTACs) are a class of bifunctional molecules that can induce the ubiquitin degradation of its target protein by hijacking the E3 ligase to form a target protein-PROTAC-E3 ligase ternary complex. Its underlying principle has inspired the development of a wide range of protein degraders that are similar to or beyond PROTACs in recent years. The formation of the ternary complexes is the key to the success of PROTAC-induced protein degradation. Nevertheless, the lack of effective ternary complex modeling techniques has limited the application of computer-aided drug discovery tools to this emerging and fast developing new land in drug industry. Thus, in this study, we explored the application of the more physically sound molecular dynamics simulation and the molecular mechanics combined with the generalized Born and surface area continuum solvation (MM/GBSA) method to solve the underlying three-body problem in PROTAC modeling. We first verified the accuracy of our approach using a series of known Brd4 BD2 degraders. The calculated binding energy showed a good correlation with the experimental Kd values. The modeling of a unique property, namely, the α value, for PROTACs was also first and accurately performed to our best knowledge. The results also demonstrated the importance of PROTAC-induced protein–protein interactions in its modeling, either qualitatively or quantitatively. Finally, by standing on the success of earlier docking-based approaches, our protocol was also applied as a rescoring function in pose prediction. The results showed a notable improvement in reranking the initial poses generated from a modified Rosetta method, which was reportedly one of the best among a handful of PROTAC modeling approaches available in this field. We hope this work could provide a practical protocol and more insights to study the binding and the design of PROTACs and other protein degraders.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
科研通AI6.1应助星落枝头采纳,获得10
8秒前
9秒前
啦啦啦蛤蛤蛤完成签到,获得积分10
13秒前
15秒前
星落枝头发布了新的文献求助10
17秒前
20秒前
ys完成签到 ,获得积分10
26秒前
完美世界应助淡定的冬寒采纳,获得10
30秒前
科研通AI2S应助科研通管家采纳,获得10
42秒前
47秒前
虾鱼关注了科研通微信公众号
57秒前
Claudia发布了新的文献求助30
58秒前
量子星尘发布了新的文献求助10
1分钟前
1分钟前
1分钟前
1分钟前
虾鱼发布了新的文献求助10
1分钟前
陶醉的安寒应助何88888888采纳,获得10
1分钟前
小蘑菇应助Remon采纳,获得10
1分钟前
1分钟前
djdh完成签到 ,获得积分10
1分钟前
1分钟前
丘比特应助tdtk采纳,获得10
1分钟前
2分钟前
tdtk发布了新的文献求助10
2分钟前
2分钟前
我是老大应助Charles采纳,获得10
2分钟前
2分钟前
Dryang完成签到 ,获得积分10
2分钟前
2分钟前
gfasdjsjdsjd发布了新的文献求助10
2分钟前
Charles完成签到,获得积分10
2分钟前
2分钟前
英俊的铭应助Jasmine采纳,获得10
2分钟前
2分钟前
Charles发布了新的文献求助10
2分钟前
糖醋里脊发布了新的文献求助50
2分钟前
科研通AI2S应助科研通管家采纳,获得10
2分钟前
2分钟前
等待的剑身完成签到,获得积分10
2分钟前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
Wearable Exoskeleton Systems, 2nd Edition 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6058517
求助须知:如何正确求助?哪些是违规求助? 7891170
关于积分的说明 16296886
捐赠科研通 5203303
什么是DOI,文献DOI怎么找? 2783887
邀请新用户注册赠送积分活动 1766522
关于科研通互助平台的介绍 1647099