4NWO

Computationally Designed Two-Component Self-Assembling Tetrahedral Cage T33-15


Experimental Data Snapshot

  • Method: X-RAY DIFFRACTION
  • Resolution: 2.80 Å
  • R-Value Free: 0.252 
  • R-Value Work: 0.202 
  • R-Value Observed: 0.207 

wwPDB Validation 3D Report Full Report


This is version 1.1 of the entry. See complete history


Literature

Accurate design of co-assembling multi-component protein nanomaterials.

King, N.P.Bale, J.B.Sheffler, W.McNamara, D.E.Gonen, S.Gonen, T.Yeates, T.O.Baker, D.

(2014) Nature 510: 103-108

  • DOI: 10.1038/nature13404
  • Primary Citation of Related Structures:  
    4NWN, 4NWO, 4NWP, 4NWQ, 4NWR

  • PubMed Abstract: 
  • The self-assembly of proteins into highly ordered nanoscale architectures is a hallmark of biological systems. The sophisticated functions of these molecular machines have inspired the development of methods to engineer self-assembling protein nanost ...

    The self-assembly of proteins into highly ordered nanoscale architectures is a hallmark of biological systems. The sophisticated functions of these molecular machines have inspired the development of methods to engineer self-assembling protein nanostructures; however, the design of multi-component protein nanomaterials with high accuracy remains an outstanding challenge. Here we report a computational method for designing protein nanomaterials in which multiple copies of two distinct subunits co-assemble into a specific architecture. We use the method to design five 24-subunit cage-like protein nanomaterials in two distinct symmetric architectures and experimentally demonstrate that their structures are in close agreement with the computational design models. The accuracy of the method and the number and variety of two-component materials that it makes accessible suggest a route to the construction of functional protein nanomaterials tailored to specific applications.


    Organizational Affiliation

    1] Department of Biochemistry, University of Washington, Seattle, Washington 98195, USA [2] Institute for Protein Design, University of Washington, Seattle, Washington 98195, USA [3] Howard Hughes Medical Institute, University of Washington, Seattle, Washington 98195, USA.



Macromolecules
Find similar proteins by:  (by identity cutoff)  |  Structure
Entity ID: 1
MoleculeChainsSequence LengthOrganismDetailsImage
Molybdenum cofactor biosynthesis protein MogAA177Shewanella oneidensisMutation(s): 12 
Gene Names: mogASO_0065
Find proteins for Q8EKM7 (Shewanella oneidensis (strain MR-1))
Explore Q8EKM7 
Go to UniProtKB:  Q8EKM7
Protein Feature View
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  • Reference Sequence
Find similar proteins by:  (by identity cutoff)  |  Structure
Entity ID: 2
MoleculeChainsSequence LengthOrganismDetailsImage
Chorismate mutase AroHB130Thermus thermophilusMutation(s): 10 
Gene Names: aroGaroH
EC: 5.4.99.5
Find proteins for Q5SJY4 (Thermus thermophilus (strain HB8 / ATCC 27634 / DSM 579))
Explore Q5SJY4 
Go to UniProtKB:  Q5SJY4
Protein Feature View
 ( Mouse scroll to zoom / Hold left click to move )
  • Reference Sequence
Small Molecules
Ligands 1 Unique
IDChainsName / Formula / InChI Key2D Diagram3D Interactions
CA
Query on CA

Download CCD File 
A
CALCIUM ION
Ca
BHPQYMZQTOCNFJ-UHFFFAOYSA-N
 Ligand Interaction
Experimental Data & Validation

Experimental Data

  • Method: X-RAY DIFFRACTION
  • Resolution: 2.80 Å
  • R-Value Free: 0.252 
  • R-Value Work: 0.202 
  • R-Value Observed: 0.207 
  • Space Group: F 4 3 2
Unit Cell:
Length ( Å )Angle ( ˚ )
a = 213.52α = 90
b = 213.52β = 90
c = 213.52γ = 90
Software Package:
Software NamePurpose
XSCALEdata scaling
PHASERphasing
PHENIXrefinement
PDB_EXTRACTdata extraction
XDSdata reduction

Structure Validation

View Full Validation Report



Entry History 

Deposition Data

Revision History 

  • Version 1.0: 2014-05-28
    Type: Initial release
  • Version 1.1: 2014-06-11
    Changes: Database references