Computational Design of Self-Assembling Protein Nanomaterials with Atomic Level Accuracy
- UWASH
We describe a general computational method for designing proteins that self-assemble to a desired symmetric architecture. Protein building blocks are docked together symmetrically to identify complementary packing arrangements, and low-energy protein-protein interfaces are then designed between the building blocks in order to drive self-assembly. We used trimeric protein building blocks to design a 24-subunit, 13-nm diameter complex with octahedral symmetry and a 12-subunit, 11-nm diameter complex with tetrahedral symmetry. The designed proteins assembled to the desired oligomeric states in solution, and the crystal structures of the complexes revealed that the resulting materials closely match the design models. The method can be used to design a wide variety of self-assembling protein nanomaterials.
- Research Organization:
- Advanced Photon Source (APS), Argonne National Laboratory (ANL), Argonne, IL (US)
- Sponsoring Organization:
- NIHDOE - BIOLOGICAL AND ENVIRONMENTAL RESEARCHOTHER
- OSTI ID:
- 1045689
- Journal Information:
- Science, Journal Name: Science Journal Issue: 06, 2012 Vol. 336; ISSN SCIEAS; ISSN 0036-8075
- Country of Publication:
- United States
- Language:
- ENGLISH
Similar Records
Design of multi-scale protein complexes by hierarchical building block fusion
Small-angle neutron scattering reveals the assembly mode and oligomeric architecture of TET, a large, dodecameric aminopeptidase
Fast and versatile sequence-independent protein docking for nanomaterials design using RPXDock
Journal Article
·
Fri Apr 16 00:00:00 EDT 2021
· Nature Communications
·
OSTI ID:1780612
Small-angle neutron scattering reveals the assembly mode and oligomeric architecture of TET, a large, dodecameric aminopeptidase
Journal Article
·
Sat Nov 01 00:00:00 EDT 2014
· Acta Crystallographica. Section D: Biological Crystallography
·
OSTI ID:22347728
Fast and versatile sequence-independent protein docking for nanomaterials design using RPXDock
Journal Article
·
Mon May 22 00:00:00 EDT 2023
· PLoS Computational Biology (Online)
·
OSTI ID:1983380