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Computational Design of Self-Assembling Protein Nanomaterials with Atomic Level Accuracy

King, Neil P.; Sheffler, William; Sawaya, Michael R.; Vollmar, Breanna S.; Sumida, John P.; André, Ingemar LU ; Gonen, Tamir; Yeates, Todd O. and Baker, David (2012) In Science 336(6085). p.1171-1174
Abstract
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... (More)
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. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Science
volume
336
issue
6085
pages
1171 - 1174
publisher
The American Association for the Advancement of Science
external identifiers
  • wos:000304647900053
  • scopus:84861676223
ISSN
1095-9203
DOI
10.1126/science.1219364
language
English
LU publication?
yes
id
34bfdfba-8f6c-4480-93ef-d5f4bf31b625 (old id 2799758)
date added to LUP
2012-06-25 12:30:24
date last changed
2017-11-19 03:47:16
@article{34bfdfba-8f6c-4480-93ef-d5f4bf31b625,
  abstract     = {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.},
  author       = {King, Neil P. and Sheffler, William and Sawaya, Michael R. and Vollmar, Breanna S. and Sumida, John P. and André, Ingemar and Gonen, Tamir and Yeates, Todd O. and Baker, David},
  issn         = {1095-9203},
  language     = {eng},
  number       = {6085},
  pages        = {1171--1174},
  publisher    = {The American Association for the Advancement of Science},
  series       = {Science},
  title        = {Computational Design of Self-Assembling Protein Nanomaterials with Atomic Level Accuracy},
  url          = {http://dx.doi.org/10.1126/science.1219364},
  volume       = {336},
  year         = {2012},
}