8UF0

T33-ml23 - Designed Tetrahedral Protein Cage Using Machine Learning Algorithms


Experimental Data Snapshot

  • Method: ELECTRON MICROSCOPY
  • Resolution: 2.02 Å
  • Aggregation State: PARTICLE 
  • Reconstruction Method: SINGLE PARTICLE 

wwPDB Validation   3D Report Full Report


This is version 1.0 of the entry. See complete history


Literature

A suite of designed protein cages using machine learning algorithms and protein fragment-based protocols

Meador, K.Castells-Graells, R.Aguirre, R.Sawaya, M.R.Arbing, M.A.Sherman, T.Senarathne, C.Yeates, T.O.

To be published.

Macromolecules
Find similar proteins by:  (by identity cutoff)  |  3D Structure
Entity ID: 1
MoleculeChains Sequence LengthOrganismDetailsImage
T33-ml23-redesigned-CutA-fold101synthetic constructMutation(s): 0 
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
Sequence Annotations
Expand
  • Reference Sequence
Find similar proteins by:  (by identity cutoff)  |  3D Structure
Entity ID: 2
MoleculeChains Sequence LengthOrganismDetailsImage
T33-ml23-redesigned-tandem-BMC-T-fold205synthetic constructMutation(s): 0 
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
Sequence Annotations
Expand
  • Reference Sequence
Experimental Data & Validation

Experimental Data

  • Method: ELECTRON MICROSCOPY
  • Resolution: 2.02 Å
  • Aggregation State: PARTICLE 
  • Reconstruction Method: SINGLE PARTICLE 
EM Software:
TaskSoftware PackageVersion
RECONSTRUCTIONcryoSPARC
MODEL REFINEMENTPHENIX

Structure Validation

View Full Validation Report



Entry History & Funding Information

Deposition Data


Funding OrganizationLocationGrant Number
National Institutes of Health/National Institute of General Medical Sciences (NIH/NIGMS)United StatesGM129854
Department of Energy (DOE, United States)United StatesDE-FC02-02ER63421

Revision History  (Full details and data files)

  • Version 1.0: 2023-11-15
    Type: Initial release