5MFH

Designed armadillo repeat protein YIIIM5AII in complex with peptide (RR)5


Experimental Data Snapshot

  • Method: X-RAY DIFFRACTION
  • Resolution: 2.00 Å
  • R-Value Free: 0.232 
  • R-Value Work: 0.199 
  • R-Value Observed: 0.200 

Starting Model: experimental
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wwPDB Validation   3D Report Full Report


This is version 1.2 of the entry. See complete history


Literature

Curvature of designed armadillo repeat proteins allows modular peptide binding.

Hansen, S.Ernst, P.Konig, S.L.B.Reichen, C.Ewald, C.Nettels, D.Mittl, P.R.E.Schuler, B.Pluckthun, A.

(2018) J Struct Biol 201: 108-117

  • DOI: https://doi.org/10.1016/j.jsb.2017.08.009
  • Primary Citation of Related Structures:  
    5MFB, 5MFE, 5MFF, 5MFG, 5MFH, 5MFI, 5MFJ, 5MFK, 5MFL, 5MFM, 5MFN, 5MFO

  • PubMed Abstract: 

    Designed armadillo repeat proteins (dArmRPs) were developed to create a modular peptide binding technology where each of the structural repeats binds two residues of the target peptide. An essential prerequisite for such a technology is a dArmRP geometry that matches the peptide bond length. To this end, we determined a large set (n=27) of dArmRP X-ray structures, of which 12 were previously unpublished, to calculate curvature parameters that define their geometry. Our analysis shows that consensus dArmRPs exhibit curvatures close to the optimal range for modular peptide recognition. Binding of peptide ligands can induce a curvature within the desired range, as confirmed by single-molecule FRET experiments in solution. On the other hand, computationally designed ArmRPs, where side chains have been chosen with the intention to optimally fit into a geometrically optimized backbone, turned out to be more divergent in reality, and thus not suitable for continuous peptide binding. Furthermore, we show that the formation of a crystal lattice can induce small but significant deviations from the curvature adopted in solution, which can interfere with the evaluation of repeat protein scaffolds when high accuracy is required. This study corroborates the suitability of consensus dArmRPs as a scaffold for the development of modular peptide binders.


  • Organizational Affiliation

    Department of Biochemistry, University of Zurich, Winterthurerstrasse 190, 8057 Zürich, Switzerland.


Macromolecules
Find similar proteins by:  (by identity cutoff)  |  3D Structure
Entity ID: 1
MoleculeChains Sequence LengthOrganismDetailsImage
YIIIM5AII
A, B, C, D
286synthetic constructMutation(s): 0 
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
Sequence Annotations
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  • Reference Sequence

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Entity ID: 2
MoleculeChains Sequence LengthOrganismDetailsImage
(RR)5
E, F
10synthetic constructMutation(s): 0 
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
Sequence Annotations
Expand
  • Reference Sequence
Small Molecules
Ligands 1 Unique
IDChains Name / Formula / InChI Key2D Diagram3D Interactions
CA
Query on CA

Download Ideal Coordinates CCD File 
AA [auth D]
G [auth A]
H [auth A]
I [auth A]
J [auth A]
AA [auth D],
G [auth A],
H [auth A],
I [auth A],
J [auth A],
K [auth A],
L [auth A],
M [auth A],
N [auth A],
O [auth B],
P [auth B],
Q [auth B],
R [auth B],
S [auth B],
T [auth C],
U [auth C],
V [auth C],
W [auth C],
X [auth C],
Y [auth C],
Z [auth C]
CALCIUM ION
Ca
BHPQYMZQTOCNFJ-UHFFFAOYSA-N
Experimental Data & Validation

Experimental Data

  • Method: X-RAY DIFFRACTION
  • Resolution: 2.00 Å
  • R-Value Free: 0.232 
  • R-Value Work: 0.199 
  • R-Value Observed: 0.200 
  • Space Group: P 21 21 21
Unit Cell:
Length ( Å )Angle ( ˚ )
a = 81.48α = 90
b = 103.79β = 90
c = 134.01γ = 90
Software Package:
Software NamePurpose
BUSTERrefinement
XDSdata reduction
XSCALEdata scaling
PHASERphasing

Structure Validation

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Entry History 

Deposition Data

Revision History  (Full details and data files)

  • Version 1.0: 2017-09-13
    Type: Initial release
  • Version 1.1: 2018-02-21
    Changes: Database references
  • Version 1.2: 2024-01-17
    Changes: Data collection, Database references, Derived calculations, Refinement description