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Massively parallel de novo protein design for targeted therapeutics

Authors :
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
Source :
Nature; October 2017, Vol. 550 Issue: 7674 p74-79, 6p
Publication Year :
2017

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.

Details

Language :
English
ISSN :
00280836 and 14764687
Volume :
550
Issue :
7674
Database :
Supplemental Index
Journal :
Nature
Publication Type :
Periodical
Accession number :
ejs43386120
Full Text :
https://doi.org/10.1038/nature23912