The energetic and allosteric landscape for KRAS inhibition

变构调节 计算生物学 变构酶 克拉斯 效应器 生物 蛋白质-蛋白质相互作用 突变体 功能(生物学) 突变 遗传学 细胞生物学 基因 受体
作者
Chenchun Weng,André J. Faure,Ben Lehner
标识
DOI:10.1101/2022.12.06.519122
摘要

Abstract Thousands of proteins have now been genetically-validated as therapeutic targets in hundreds of human diseases. However, very few have actually been successfully targeted and many are considered ‘undruggable’. This is particularly true for proteins that function via protein-protein interactions: direct inhibition of binding interfaces is difficult, requiring the identification of allosteric sites. However, most proteins have no known allosteric sites and a comprehensive allosteric map does not exist for any protein. Here we address this shortcoming by charting multiple global atlases of inhibitory allosteric communication in KRAS, a protein mutated in 1 in 10 human cancers. We quantified the impact of >26,000 mutations on the folding of KRAS and its binding to six interaction partners. Genetic interactions in double mutants allowed us to perform biophysical measurements at scale, inferring >22,000 causal free energy changes, a similar number of measurements as the total made for proteins to date. These energy landscapes quantify how mutations tune the binding specificity of a signalling protein and map the inhibitory allosteric sites for an important therapeutic target. Allosteric propagation is particularly effective across the central beta sheet of KRAS and multiple surface pockets are genetically-validated as allosterically active, including a distal pocket in the C-terminal lobe of the protein. Allosteric mutations typically inhibit binding to all tested effectors but they can also change the binding specificity, revealing the regulatory, evolutionary and therapeutic potential to tune pathway activation. Using the approach described here it should be possible to rapidly and comprehensively identify allosteric target sites in many important proteins.
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
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
cherish发布了新的文献求助10
刚刚
刚刚
YT关闭了YT文献求助
1秒前
1秒前
李爱国应助linfordlu采纳,获得30
1秒前
1秒前
张一一完成签到,获得积分10
2秒前
Hao应助阿米尔盼盼采纳,获得10
2秒前
欣喜代秋发布了新的文献求助10
2秒前
2秒前
小羊发布了新的文献求助10
2秒前
3秒前
啦啦啦发布了新的文献求助10
5秒前
今后应助任性的皮皮虾采纳,获得10
5秒前
神勇健柏完成签到,获得积分10
5秒前
祝比耶发布了新的文献求助10
6秒前
风之飘渺者也完成签到,获得积分10
6秒前
YM发布了新的文献求助10
7秒前
infinito发布了新的文献求助10
7秒前
ccc发布了新的文献求助30
7秒前
7秒前
njufeng完成签到,获得积分10
7秒前
jzmupyj发布了新的文献求助10
7秒前
Hello应助StevenZhao采纳,获得10
8秒前
李健的小迷弟应助zhujingyao采纳,获得10
8秒前
英俊的铭应助liu采纳,获得10
9秒前
饱满新晴完成签到,获得积分10
9秒前
10秒前
Eternity发布了新的文献求助10
10秒前
量子星尘发布了新的文献求助10
11秒前
烟花应助科研狗采纳,获得10
11秒前
浮游应助姚玲采纳,获得10
11秒前
大模型应助姚玲采纳,获得10
11秒前
浮游应助傻傻的乌冬面采纳,获得10
11秒前
思源应助王京采纳,获得10
11秒前
深情安青应助喜悦乐巧采纳,获得10
12秒前
12秒前
13秒前
胖子一个发布了新的文献求助10
14秒前
哈基米完成签到 ,获得积分10
15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
Introduction to Early Childhood Education 1000
List of 1,091 Public Pension Profiles by Region 921
Aerospace Standards Index - 2025 800
Identifying dimensions of interest to support learning in disengaged students: the MINE project 800
流动的新传统主义与新生代农民工的劳动力再生产模式变迁 500
Historical Dictionary of British Intelligence (2014 / 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 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5434707
求助须知:如何正确求助?哪些是违规求助? 4547028
关于积分的说明 14205727
捐赠科研通 4467036
什么是DOI,文献DOI怎么找? 2448402
邀请新用户注册赠送积分活动 1439329
关于科研通互助平台的介绍 1416068