表位
计算生物学
抗体
生物
病毒学
蛋白质设计
中和抗体
病毒
免疫学
蛋白质结构
生物化学
作者
Fabian Sesterhenn,Che Yang,Jaume Bonet,Johannes Cramer,Xiaolin Wen,Yimeng Wang,Chi-I Chiang,Luciano A. Abriata,Iga Kucharska,Giacomo Castoro,Sabrina S. Vollers,Marie Galloux,Elie Dheilly,Stéphane Rosset,Patricia Corthésy,Sandrine Georgeon,Mélanie Villard,Charles-Adrien Richard,Delphyne Descamps,Teresa Delgado
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2020-05-14
卷期号:368 (6492)
被引量:198
标识
DOI:10.1126/science.aay5051
摘要
De novo protein design has been successful in expanding the natural protein repertoire. However, most de novo proteins lack biological function, presenting a major methodological challenge. In vaccinology, the induction of precise antibody responses remains a cornerstone for next-generation vaccines. Here, we present a protein design algorithm called TopoBuilder, with which we engineered epitope-focused immunogens displaying complex structural motifs. In both mice and nonhuman primates, cocktails of three de novo-designed immunogens induced robust neutralizing responses against the respiratory syncytial virus. Furthermore, the immunogens refocused preexisting antibody responses toward defined neutralization epitopes. Overall, our design approach opens the possibility of targeting specific epitopes for the development of vaccines and therapeutic antibodies and, more generally, will be applicable to the design of de novo proteins displaying complex functional motifs.
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