7TN1

Multistate design to stabilize viral class I fusion proteins


Experimental Data Snapshot

  • Method: X-RAY DIFFRACTION
  • Resolution: 3.10 Å
  • R-Value Free: 
    0.315 (Depositor), 0.320 (DCC) 
  • R-Value Work: 
    0.254 (Depositor), 0.250 (DCC) 
  • R-Value Observed: 
    0.256 (Depositor) 

Starting Model: experimental
View more details

wwPDB Validation   3D Report Full Report


Ligand Structure Quality Assessment 

Created with Raphaël 2.3.0Worse 01 BetterLigand structure goodness of fit to experimental dataBest fitted NAGClick on this verticalbar to view details

This is version 1.3 of the entry. See complete history


Literature

A general computational design strategy for stabilizing viral class I fusion proteins.

Gonzalez, K.J.Huang, J.Criado, M.F.Banerjee, A.Tompkins, S.M.Mousa, J.J.Strauch, E.M.

(2024) Nat Commun 15: 1335-1335

  • DOI: https://doi.org/10.1038/s41467-024-45480-z
  • Primary Citation of Related Structures:  
    7TN1, 8E15, 8FEZ

  • PubMed Abstract: 

    Many pathogenic viruses rely on class I fusion proteins to fuse their viral membrane with the host cell membrane. To drive the fusion process, class I fusion proteins undergo an irreversible conformational change from a metastable prefusion state to an energetically more stable postfusion state. Mounting evidence underscores that antibodies targeting the prefusion conformation are the most potent, making it a compelling vaccine candidate. Here, we establish a computational design protocol that stabilizes the prefusion state while destabilizing the postfusion conformation. With this protocol, we stabilize the fusion proteins of the RSV, hMPV, and SARS-CoV-2 viruses, testing fewer than a handful of designs. The solved structures of these designed proteins from all three viruses evidence the atomic accuracy of our approach. Furthermore, the humoral response of the redesigned RSV F protein compares to that of the recently approved vaccine in a mouse model. While the parallel design of two conformations allows the identification of energetically sub-optimal positions for one conformation, our protocol also reveals diverse molecular strategies for stabilization. Given the clinical significance of viruses using class I fusion proteins, our algorithm can substantially contribute to vaccine development by reducing the time and resources needed to optimize these immunogens.


  • Organizational Affiliation

    Institute of Bioinformatics, Franklin College of Arts and Sciences, University of Georgia, Athens, GA, 30602, USA.


Macromolecules
Find similar proteins by:  (by identity cutoff)  |  3D Structure
Entity ID: 1
MoleculeChains Sequence LengthOrganismDetailsImage
Fusion glycoprotein F0A [auth F],
B [auth A],
C [auth B]
568Respiratory syncytial virusMutation(s): 0 
UniProt
Find proteins for P03420 (Human respiratory syncytial virus A (strain A2))
Explore P03420 
Go to UniProtKB:  P03420
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
UniProt GroupP03420
Glycosylation
Glycosylation Sites: 1
Sequence Annotations
Expand
  • Reference Sequence
Experimental Data & Validation

Experimental Data

  • Method: X-RAY DIFFRACTION
  • Resolution: 3.10 Å
  • R-Value Free:  0.315 (Depositor), 0.320 (DCC) 
  • R-Value Work:  0.254 (Depositor), 0.250 (DCC) 
  • R-Value Observed: 0.256 (Depositor) 
Space Group: P 41 21 2
Unit Cell:
Length ( Å )Angle ( ˚ )
a = 170.468α = 90
b = 170.468β = 90
c = 171.152γ = 90
Software Package:
Software NamePurpose
PHENIXrefinement
XDSdata reduction
Aimlessdata scaling
PHENIXphasing
Cootmodel building

Structure Validation

View Full Validation Report



Ligand Structure Quality Assessment 

Created with Raphaël 2.3.0Worse 01 BetterLigand structure goodness of fit to experimental dataBest fitted NAGClick on this verticalbar to view details

Entry History & Funding Information

Deposition Data


Funding OrganizationLocationGrant Number
National Institutes of Health/National Institute Of Allergy and Infectious Diseases (NIH/NIAID)United StatesR01AI140245
National Institutes of Health/National Institute Of Allergy and Infectious Diseases (NIH/NIAID)United StatesR01AI143865

Revision History  (Full details and data files)

  • Version 1.0: 2023-07-12
    Type: Initial release
  • Version 1.1: 2023-10-25
    Changes: Data collection, Refinement description
  • Version 1.2: 2024-07-24
    Changes: Database references
  • Version 1.3: 2024-11-20
    Changes: Structure summary