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用于靶向治疗的大规模并行从头蛋白质设计。

Massively parallel de novo protein design for targeted therapeutics.

作者信息

Chevalier Aaron, Silva Daniel-Adriano, Rocklin Gabriel J, Hicks Derrick R, Vergara Renan, Murapa Patience, Bernard Steffen M, Zhang Lu, Lam Kwok-Ho, Yao Guorui, Bahl Christopher D, Miyashita Shin-Ichiro, Goreshnik Inna, Fuller James T, Koday Merika T, Jenkins Cody M, Colvin Tom, Carter Lauren, Bohn Alan, Bryan Cassie M, Fernández-Velasco D Alejandro, Stewart Lance, Dong Min, Huang Xuhui, Jin Rongsheng, Wilson Ian A, Fuller Deborah H, Baker David

机构信息

Department of Biochemistry, University of Washington, Seattle, Washington 98195, USA.

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

出版信息

Nature. 2017 Oct 5;550(7674):74-79. doi: 10.1038/nature23912. Epub 2017 Sep 27.

Abstract

De novo protein design holds promise for creating small stable proteins with shapes customized to bind therapeutic targets. We describe a massively parallel approach for designing, manufacturing and screening mini-protein binders, integrating large-scale computational design, oligonucleotide synthesis, yeast display screening and next-generation sequencing. We designed and tested 22,660 mini-proteins of 37-43 residues that target influenza haemagglutinin and botulinum neurotoxin B, along with 6,286 control sequences to probe contributions to folding and binding, and identified 2,618 high-affinity binders. Comparison of the binding and non-binding design sets, which are two orders of magnitude larger than any previously investigated, enabled the evaluation and improvement of the computational model. Biophysical characterization of a subset of the binder designs showed that they are extremely stable and, unlike antibodies, do not lose activity after exposure to high temperatures. The designs elicit little or no immune response and provide potent prophylactic and therapeutic protection against influenza, even after extensive repeated dosing.

摘要

从头蛋白质设计有望创造出形状定制以结合治疗靶点的小型稳定蛋白质。我们描述了一种大规模并行方法,用于设计、制造和筛选微型蛋白质结合剂,整合了大规模计算设计、寡核苷酸合成、酵母展示筛选和下一代测序。我们设计并测试了针对流感血凝素和肉毒杆菌神经毒素B的22,660个由37 - 43个残基组成的微型蛋白质,以及6,286个对照序列以探究对折叠和结合的贡献,并鉴定出2,618个高亲和力结合剂。结合和非结合设计集比以往任何研究的都大两个数量级,通过对它们的比较能够评估和改进计算模型。对一部分结合剂设计的生物物理表征表明,它们极其稳定,并且与抗体不同,在高温下暴露后不会失去活性。这些设计引发很少或没有免疫反应,即使在大量重复给药后,也能提供有效的流感预防和治疗保护。

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