6M80

Collagen peptide containing aza-proline and aza-glycine


Experimental Data Snapshot

  • Method: X-RAY DIFFRACTION
  • Resolution: 1.10 Å
  • R-Value Free: 0.144 
  • R-Value Work: 0.117 
  • R-Value Observed: 0.119 

wwPDB Validation   3D Report Full Report


This is version 2.0 of the entry. See complete history


Literature

Aza-proline effectively mimics l-proline stereochemistry in triple helical collagen.

Kasznel, A.J.Harris, T.Porter, N.J.Zhang, Y.Chenoweth, D.M.

(2019) Chem Sci 10: 6979-6983

  • DOI: https://doi.org/10.1039/c9sc02211b
  • Primary Citation of Related Structures:  
    6M80

  • PubMed Abstract: 

    The prevalence of l-amino acids in biomolecules has been shown to have teleological importance in biomolecular structure and self-assembly. Recently, biophysical studies have demonstrated that natural l-amino acids can be replaced with non-natural achiral aza-amino acids in folded protein structures such as triple helical collagen. However, the structural consequences of achiral aza-amino acid incorporation has not been elucidated in the context of any relevant folded biomolecule. Herein, we use X-ray crystallography to provide the first atomic resolution crystal structure of an achiral aza-amino acid residue embedded within a folded protein structure, definitively illustrating that achiral aza-proline has the capacity to effectively mimic the stereochemistry of natural amino acids within the context of triple helical collagen. We further corroborate this finding with density functional theory computational analysis showing that the natural l-amino acid stereochemistry for aza-proline is energetically favored when arranged in the aza-proline-hydroxyproline-glycine motif. In addition to providing fundamental insight into peptide and protein structure, the incorporation of achiral stereochemical mimics such as aza-amino acids could have far reaching impacts in areas ranging from synthetic materials to drug design.


  • Organizational Affiliation

    Department of Chemistry , University of Pennsylvania , 231 S. 34th St. , Philadelphia , PA 19104-6323 , USA . Email: dcheno@sas.upenn.edu.


Macromolecules

Find similar proteins by:  Sequence   |   3D Structure  

Entity ID: 1
MoleculeChains Sequence LengthOrganismDetailsImage
Collagen peptide containing aza-proline and aza-glycineA [auth C],
B [auth D],
C [auth E]
25Homo sapiensMutation(s): 0 
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
Sequence Annotations
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  • Reference Sequence
Small Molecules
Ligands 2 Unique
IDChains Name / Formula / InChI Key2D Diagram3D Interactions
SO4
Query on SO4

Download Ideal Coordinates CCD File 
E
SULFATE ION
O4 S
QAOWNCQODCNURD-UHFFFAOYSA-L
EDO
Query on EDO

Download Ideal Coordinates CCD File 
D [auth C]1,2-ETHANEDIOL
C2 H6 O2
LYCAIKOWRPUZTN-UHFFFAOYSA-N
Modified Residues  2 Unique
IDChains TypeFormula2D DiagramParent
HYP
Query on HYP
A [auth C],
B [auth D],
C [auth E]
L-PEPTIDE LINKINGC5 H9 N O3PRO
ZPO
Query on ZPO
A [auth C],
B [auth D],
C [auth E]
PEPTIDE-LIKEC4 H8 N2 O2PRO
Experimental Data & Validation

Experimental Data

  • Method: X-RAY DIFFRACTION
  • Resolution: 1.10 Å
  • R-Value Free: 0.144 
  • R-Value Work: 0.117 
  • R-Value Observed: 0.119 
  • Space Group: P 1 21 1
Unit Cell:
Length ( Å )Angle ( ˚ )
a = 27.538α = 90
b = 18.175β = 91.92
c = 48.834γ = 90
Software Package:
Software NamePurpose
PHENIXrefinement
Cootmodel building
XDSdata reduction
SCALAdata scaling
pointlessdata scaling
PHASERphasing

Structure Validation

View Full Validation Report



Entry History & Funding Information

Deposition Data


Funding OrganizationLocationGrant Number
National Science Foundation (NSF, United States)United StatesMRSEC DMR-1720530

Revision History  (Full details and data files)

  • Version 1.0: 2019-07-03
    Type: Initial release
  • Version 1.1: 2019-10-23
    Changes: Data collection, Database references
  • Version 1.2: 2019-11-27
    Changes: Author supporting evidence
  • Version 1.3: 2023-10-11
    Changes: Data collection, Database references, Refinement description
  • Version 2.0: 2023-11-15
    Changes: Atomic model, Data collection