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Computational design of non-porous, pH-responsive antibody nanoparticles

Authors :
Erin C. Yang
Robby Divine
Marcos C. Miranda
Andrew J. Borst
Will Sheffler
Jason Z Zhang
Justin Decarreau
Amijai Saragovi
Mohamad Abedi
Nicolas Goldbach
Maggie Ahlrichs
Craig Dobbins
Alexis Hand
Suna Cheng
Mila Lamb
Paul M. Levine
Sidney Chan
Rebecca Skotheim
Jorge Fallas
George Ueda
Joshua Lubner
Masaharu Somiya
Alena Khmelinskaia
Neil P. King
David Baker
Source :
bioRxiv
Publication Year :
2023
Publisher :
Cold Spring Harbor Laboratory, 2023.

Abstract

Programming protein nanomaterials to respond to changes in environmental conditions is a current challenge for protein design and important for targeted delivery of biologics. We describe the design of octahedral non-porous nanoparticles with the three symmetry axes (four-fold, three-fold, and two-fold) occupied by three distinct protein homooligomers: ade novodesigned tetramer, an antibody of interest, and a designed trimer programmed to disassemble below a tunable pH transition point. The nanoparticles assemble cooperatively from independently purified components, and a cryo-EM density map reveals that the structure is very close to the computational design model. The designed nanoparticles can package a variety of molecular payloads, are endocytosed following antibody-mediated targeting of cell surface receptors, and undergo tunable pH-dependent disassembly at pH values ranging between to 5.9-6.7. To our knowledge, these are the first designed nanoparticles with more than two structural components and with finely tunable environmental sensitivity, and they provide new routes to antibody-directed targeted delivery.

Subjects

Subjects :
Article

Details

Database :
OpenAIRE
Journal :
bioRxiv
Accession number :
edsair.doi.dedup.....08485ba26a36e4b67dd39fd83b59e0cd