6FRJ

Crystal structure of scFv-SM3 in complex with APD-SeThrGalNAc-RP


Experimental Data Snapshot

  • Method: X-RAY DIFFRACTION
  • Resolution: 1.40 Å
  • R-Value Free: 0.230 
  • R-Value Work: 0.205 
  • R-Value Observed: 0.206 

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Ligand Structure Quality Assessment 


This is version 2.1 of the entry. See complete history


Literature

Structure-Based Design of Potent Tumor-Associated Antigens: Modulation of Peptide Presentation by Single-Atom O/S or O/Se Substitutions at the Glycosidic Linkage.

Companon, I.Guerreiro, A.Mangini, V.Castro-Lopez, J.Escudero-Casao, M.Avenoza, A.Busto, J.H.Castillon, S.Jimenez-Barbero, J.Asensio, J.L.Jimenez-Oses, G.Boutureira, O.Peregrina, J.M.Hurtado-Guerrero, R.Fiammengo, R.Bernardes, G.J.L.Corzana, F.

(2019) J Am Chem Soc 141: 4063-4072

  • DOI: https://doi.org/10.1021/jacs.8b13503
  • Primary Citation of Related Structures:  
    5N7B, 6FRJ

  • PubMed Abstract: 

    GalNAc-glycopeptides derived from mucin MUC1 are an important class of tumor-associated antigens. α- O-glycosylation forces the peptide to adopt an extended conformation in solution, which is far from the structure observed in complexes with a model anti-MUC1 antibody. Herein, we propose a new strategy for designing potent antigen mimics based on modulating peptide/carbohydrate interactions by means of O → S/Se replacement at the glycosidic linkage. These minimal chemical modifications bring about two key structural changes to the glycopeptide. They increase the carbohydrate-peptide distance and change the orientation and dynamics of the glycosidic linkage. As a result, the peptide acquires a preorganized and optimal structure suited for antibody binding. Accordingly, these new glycopeptides display improved binding toward a representative anti-MUC1 antibody relative to the native antigens. To prove the potential of these glycopeptides as tumor-associated MUC1 antigen mimics, the derivative bearing the S-glycosidic linkage was conjugated to gold nanoparticles and tested as an immunogenic formulation in mice without any adjuvant, which resulted in a significant humoral immune response. Importantly, the mice antisera recognize cancer cells in biopsies of breast cancer patients with high selectivity. This finding demonstrates that the antibodies elicited against the mimetic antigen indeed recognize the naturally occurring antigen in its physiological context. Clinically, the exploitation of tumor-associated antigen mimics may contribute to the development of cancer vaccines and to the improvement of cancer diagnosis based on anti-MUC1 antibodies. The methodology presented here is of general interest for applications because it may be extended to modulate the affinity of biologically relevant glycopeptides toward their receptors.


  • Organizational Affiliation

    Departamento de Química , Universidad de La Rioja , Centro de Investigación en Síntesis Química , 26006 Logroño , Spain.


Macromolecules
Find similar proteins by:  (by identity cutoff)  |  3D Structure
Entity ID: 1
MoleculeChains Sequence LengthOrganismDetailsImage
scFv-SM3A [auth H]244Mus musculusMutation(s): 0 
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
Sequence Annotations
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  • Reference Sequence

Find similar proteins by:  Sequence   |   3D Structure  

Entity ID: 2
MoleculeChains Sequence LengthOrganismDetailsImage
APD-SeThr-RP7synthetic constructMutation(s): 0 
Sequence Annotations
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  • Reference Sequence
Experimental Data & Validation

Experimental Data

  • Method: X-RAY DIFFRACTION
  • Resolution: 1.40 Å
  • R-Value Free: 0.230 
  • R-Value Work: 0.205 
  • R-Value Observed: 0.206 
  • Space Group: P 21 21 21
Unit Cell:
Length ( Å )Angle ( ˚ )
a = 35.353α = 90
b = 68.612β = 90
c = 90.609γ = 90
Software Package:
Software NamePurpose
REFMACrefinement
XDSdata reduction
SCALAdata scaling
MOLREPphasing

Structure Validation

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Ligand Structure Quality Assessment 


Entry History & Funding Information

Deposition Data


Funding OrganizationLocationGrant Number
MICINNSpainCTQ2013-44367-C2-2-P
MICINNSpainBFU2016-75633-P

Revision History  (Full details and data files)

  • Version 1.0: 2019-02-20
    Type: Initial release
  • Version 1.1: 2019-03-06
    Changes: Advisory, Data collection, Derived calculations
  • Version 1.2: 2019-03-13
    Changes: Data collection, Database references
  • Version 2.0: 2020-07-29
    Type: Remediation
    Reason: Carbohydrate remediation
    Changes: Atomic model, Data collection, Derived calculations, Structure summary
  • Version 2.1: 2024-01-17
    Changes: Data collection, Database references, Derived calculations, Refinement description, Structure summary