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Computational design of non-porous pH-responsive antibody nanoparticles

  • 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

摘要

Programming protein nanomaterials to respond to changes in environmental conditions is a current challenge for protein design and is important for targeted delivery of biologics. Here we describe the design of octahedral non-porous nanoparticles with a targeting antibody on the two-fold symmetry axis, a designed trimer programmed to disassemble below a tunable pH transition point on the three-fold axis, and a designed tetramer on the four-fold symmetry axis. Designed non-covalent interfaces guide cooperative nanoparticle assembly from independently purified components, and a cryo-EM density map closely matches the computational design model. The designed nanoparticles can package protein and nucleic acid payloads, are endocytosed following antibody-mediated targeting of cell surface receptors, and undergo tunable pH-dependent disassembly at pH values ranging between 5.9 and 6.7. The ability to incorporate almost any antibody into a non-porous pH-dependent nanoparticle opens up new routes to antibody-directed targeted delivery.