Computational design of non-porous, pH-responsive antibody nanoparticles.
Erin C YangRobby DivineMarcos C MirandaAndrew J BorstWilliam ShefflerJason Z ZhangJustin DecarreauAmijai SaragoviMohamad H AbediNicolas GoldbachMaggie AhlrichsCraig DobbinsAlexis HandSuna ChengMila LambPaul M LevineSidney ChanRebecca SkotheimJorge FallasGeorge UedaJoshua M LubnerMasaharu SomiyaAlena KhmelinskaiaNeil P KingJulien S BakerPublished in: bioRxiv : the preprint server for biology (2023)
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: a de novo designed 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.