膜蛋白
跨膜蛋白
化学
整体膜蛋白
孔蛋白
密螺旋体
膜
单体
生物化学
生物物理学
两亲性
蛋白质结构
增溶
跨膜结构域
外周膜蛋白
蛋白质折叠
蛋白质-脂质相互作用
结构生物学
伴侣(临床)
细菌外膜
蛋白质设计
作者
Ljubica Mihaljević,David E. Kim,Pooja Bandawane,Helen E. Eisenach,Andrew J. Borst,Alexis Courbet,Connor Weidle,Kenneth D. Carr,Everton B. Bettin,Qiushi Liu,Aldo T. Trejos,Sagardip Majumder,Surabhi Kokane,Alexander Stevens,Edin Muratspahić,Thomas Schlichthaerle,Marc Expòsit,Xinting Li,Mila Lamb,Analisa Murray
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2026-07-02
卷期号:393 (6806): eadr3817-eadr3817
标识
DOI:10.1126/science.adr3817
摘要
Developing therapies and vaccines against integral membrane proteins is hindered by their extensive hydrophobic surfaces, which complicate production and structural analysis. Here, we describe a general deep learning–based design approach for solubilizing native membrane proteins while preserving their sequence, fold, active-site, and ligand-binding properties. Genetically encoded de novo protein WRAPs [water-soluble RFdiffused amphipathic proteins] surround the lipid-interacting hydrophobic surfaces, rendering them thermostable and water-soluble without the need for detergents. We design WRAPs for both monomeric and oligomeric beta-barrel outer membrane proteins and helical multipass transmembrane proteins. A 2.95-angstrom-resolution cryo–electron microscopy structure of WRAPed mycobacterial porin demonstrates that WRAPs can be used for the structural determination of membrane proteins in solution. As a step toward syphilis vaccine development, we generated soluble versions of Treponema pallidum antigens.
科研通智能强力驱动
Strongly Powered by AbleSci AI