3NEQ

Crystal structure of the chimeric muscarinic toxin MT7 with loop 3 from MT1


Experimental Data Snapshot

  • Method: X-RAY DIFFRACTION
  • Resolution: 1.25 Å
  • R-Value Free: 0.168 
  • R-Value Work: 0.147 
  • R-Value Observed: 0.148 

Starting Model: experimental
View more details

wwPDB Validation   3D Report Full Report


This is version 1.4 of the entry. See complete history


Literature

Engineering of three-finger fold toxins creates ligands with original pharmacological profiles for muscarinic and adrenergic receptors.

Fruchart-Gaillard, C.Mourier, G.Blanchet, G.Vera, L.Gilles, N.Menez, R.Marcon, E.Stura, E.A.Servent, D.

(2012) PLoS One 7: e39166-e39166

  • DOI: https://doi.org/10.1371/journal.pone.0039166
  • Primary Citation of Related Structures:  
    3FEV, 3NEQ, 4DO8

  • PubMed Abstract: 

    Protein engineering approaches are often a combination of rational design and directed evolution using display technologies. Here, we test "loop grafting," a rational design method, on three-finger fold proteins. These small reticulated proteins have exceptional affinity and specificity for their diverse molecular targets, display protease-resistance, and are highly stable and poorly immunogenic. The wealth of structural knowledge makes them good candidates for protein engineering of new functionality. Our goal is to enhance the efficacy of these mini-proteins by modifying their pharmacological properties in order to extend their use in imaging, diagnostics and therapeutic applications. Using the interaction of three-finger fold toxins with muscarinic and adrenergic receptors as a model, chimeric toxins have been engineered by substituting loops on toxin MT7 by those from toxin MT1. The pharmacological impact of these grafts was examined using binding experiments on muscarinic receptors M1 and M4 and on the α(1A)-adrenoceptor. Some of the designed chimeric proteins have impressive gain of function on certain receptor subtypes achieving an original selectivity profile with high affinity for muscarinic receptor M1 and α(1A)-adrenoceptor. Structure-function analysis supported by crystallographic data for MT1 and two chimeras permits a molecular based interpretation of these gains and details the merits of this protein engineering technique. The results obtained shed light on how loop permutation can be used to design new three-finger proteins with original pharmacological profiles.


  • Organizational Affiliation

    CEA, iBiTecS, Service d'Ingénierie Moléculaire des Protéines, Laboratoire de Toxinologie Moléculaire et Biotechnologies, Gif-sur-Yvette, France.


Macromolecules
Find similar proteins by:  (by identity cutoff)  |  3D Structure
Entity ID: 1
MoleculeChains Sequence LengthOrganismDetailsImage
Three-finger muscarinic toxin 7
A, B
66Dendroaspis angusticepsMutation(s): 0 
Membrane Entity: Yes 
UniProt
Find proteins for Q8QGR0 (Dendroaspis angusticeps)
Explore Q8QGR0 
Go to UniProtKB:  Q8QGR0
Find proteins for P81030 (Dendroaspis angusticeps)
Explore P81030 
Go to UniProtKB:  P81030
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
UniProt GroupsQ8QGR0P81030
Sequence Annotations
Expand
  • Reference Sequence
Experimental Data & Validation

Experimental Data

  • Method: X-RAY DIFFRACTION
  • Resolution: 1.25 Å
  • R-Value Free: 0.168 
  • R-Value Work: 0.147 
  • R-Value Observed: 0.148 
  • Space Group: P 21 21 21
Unit Cell:
Length ( Å )Angle ( ˚ )
a = 25.82α = 90
b = 56.578β = 90
c = 80.709γ = 90
Software Package:
Software NamePurpose
MOSFLMdata reduction
SCALAdata scaling
PHENIXrefinement
PDB_EXTRACTdata extraction
DNAdata collection
MOLREPphasing

Structure Validation

View Full Validation Report



Entry History 

Deposition Data

Revision History  (Full details and data files)

  • Version 1.0: 2011-08-24
    Type: Initial release
  • Version 1.1: 2012-06-27
    Changes: Database references
  • Version 1.2: 2012-07-04
    Changes: Database references
  • Version 1.3: 2017-05-31
    Changes: Database references
  • Version 1.4: 2023-09-06
    Changes: Data collection, Database references, Derived calculations, Refinement description