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使用设计的蛋白质WRAPS溶解膜蛋白。

Solubilization of Membrane Proteins using designed protein WRAPS.

作者信息

Mihaljević Ljubica, Kim David E, Eisenach Helen E, Bandawane Pooja D, Borst Andrew J, Courbet Alexis, Bettin Everton, Liu Qiushi, Weidle Connor, Majumder Sagardip, Li Xinting, Lamb Mila, Azcárraga Murray Analisa Nicole, Ravichandran Rashmi, Williams Elizabeth C, Hu Shuyuan, Stuart Lynda, Grillová Linda, Thomson Nicholas R, Chang Pengxiang, Caimano Melissa J, Hawley Kelly L, King Neil P, Baker David

机构信息

Department of Biochemistry, Institute for Protein Design, University of Washington, Seattle, WA 98195, USA.

Howard Hughes Medical Institute, University of Washington, Seattle, WA, USA.

出版信息

bioRxiv. 2025 Feb 5:2025.02.04.636539. doi: 10.1101/2025.02.04.636539.

Abstract

The development of therapies and vaccines targeting integral membrane proteins has been complicated by their extensive hydrophobic surfaces, which can make production and structural characterization difficult. Here we describe a general deep learning-based design approach for solubilizing native membrane proteins while preserving their sequence, fold, and function using genetically encoded protein WRAPs (Water-soluble RFdiffused Amphipathic Proteins) that surround the lipid-interacting hydrophobic surfaces, rendering them stable and water-soluble without the need for detergents. We design WRAPs for both beta-barrel outer membrane and helical multi-pass transmembrane proteins, and show that the solubilized proteins retain the binding and enzymatic functions of the native targets with enhanced stability. Syphilis vaccine development has been hindered by difficulties in characterizing and producing the outer membrane protein antigens; we generated soluble versions of four outer membrane beta barrels which are potential syphilis vaccine antigens. A 4.0 Å cryo-EM map of WRAPed TP0698 is closely consistent with the design model. WRAPs should be broadly useful for facilitating biochemical and structural characterization of integral membrane proteins, enabling therapeutic discovery by screening against purified soluble targets, and generating antigenically intact immunogens for vaccine development.

摘要

针对整合膜蛋白的疗法和疫苗开发一直因这些蛋白广泛的疏水表面而变得复杂,这可能会使生产和结构表征变得困难。在此,我们描述了一种基于深度学习的通用设计方法,该方法利用基因编码的蛋白质WRAPs(水溶性RFdiffused两亲性蛋白质)来溶解天然膜蛋白,同时保留其序列、折叠和功能。这些WRAPs围绕与脂质相互作用的疏水表面,使其在无需洗涤剂的情况下保持稳定且可溶于水。我们为β桶状外膜蛋白和螺旋多次跨膜蛋白设计了WRAPs,并表明溶解后的蛋白保留了天然靶标的结合和酶促功能,且稳定性增强。梅毒疫苗的开发因外膜蛋白抗原的表征和生产困难而受阻;我们生成了四种外膜β桶的可溶性版本,它们是潜在的梅毒疫苗抗原。包裹TP0698的4.0 Å冷冻电镜图谱与设计模型高度一致。WRAPs对于促进整合膜蛋白的生化和结构表征、通过针对纯化的可溶性靶标进行筛选来实现治疗发现以及为疫苗开发生成抗原完整的免疫原应该具有广泛的用途。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e890/11838538/ba358a244bc4/nihpp-2025.02.04.636539v1-f0001.jpg

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