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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
swallow完成签到,获得积分10
刚刚
顺利小蝴蝶完成签到,获得积分10
刚刚
夏雨完成签到,获得积分10
刚刚
刚刚
爆米花应助111111采纳,获得10
刚刚
1秒前
2秒前
2秒前
王东旭完成签到,获得积分10
2秒前
xiaozhang发布了新的文献求助10
2秒前
3秒前
乐乐应助橘寄采纳,获得10
3秒前
3秒前
酷酷完成签到,获得积分10
3秒前
孙成完成签到,获得积分10
3秒前
ljh发布了新的文献求助10
3秒前
3秒前
呐呐呐完成签到 ,获得积分10
3秒前
starry发布了新的文献求助10
4秒前
研友_Z1xNWn完成签到,获得积分10
4秒前
weilucking完成签到,获得积分10
5秒前
5秒前
理躺丁真发布了新的文献求助10
6秒前
6秒前
6秒前
小马甲应助呵tui采纳,获得10
6秒前
一路狂奔等不了完成签到 ,获得积分10
6秒前
miao发布了新的文献求助10
6秒前
自由的新波完成签到,获得积分10
6秒前
ceeray23应助科研通管家采纳,获得10
6秒前
科研通AI6应助科研通管家采纳,获得10
6秒前
大模型应助ttssooe采纳,获得10
6秒前
科研通AI6应助科研通管家采纳,获得10
6秒前
小蘑菇应助科研通管家采纳,获得10
6秒前
啦啦啦123完成签到,获得积分10
6秒前
6秒前
蓝天应助科研通管家采纳,获得10
6秒前
nuoran完成签到,获得积分10
6秒前
苏silence发布了新的文献求助10
7秒前
7秒前
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
List of 1,091 Public Pension Profiles by Region 1621
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] | NHBS Field Guides & Natural History 1500
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 1000
Brittle fracture in welded ships 1000
Metagames: Games about Games 700
King Tyrant 680
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5573997
求助须知:如何正确求助?哪些是违规求助? 4660326
关于积分的说明 14728933
捐赠科研通 4600192
什么是DOI,文献DOI怎么找? 2524706
邀请新用户注册赠送积分活动 1495014
关于科研通互助平台的介绍 1465017