3QBV

Structure of designed orthogonal interaction between CDC42 and nucleotide exchange domains of intersectin


Experimental Data Snapshot

  • Method: X-RAY DIFFRACTION
  • Resolution: 2.65 Å
  • R-Value Free: 0.284 
  • R-Value Work: 0.241 

wwPDB Validation 3D Report Full Report


This is version 1.3 of the entry. See complete history

Literature

Control of protein signaling using a computationally designed GTPase/GEF orthogonal pair.

Kapp, G.T.Liu, S.Stein, A.Wong, D.T.Remenyi, A.Yeh, B.J.Fraser, J.S.Taunton, J.Lim, W.A.Kortemme, T.

(2012) Proc.Natl.Acad.Sci.USA 109: 5277-5282

  • DOI: 10.1073/pnas.1114487109

  • PubMed Abstract: 
  • Signaling pathways depend on regulatory protein-protein interactions; controlling these interactions in cells has important applications for reengineering biological functions. As many regulatory proteins are modular, considerable progress in enginee ...

    Signaling pathways depend on regulatory protein-protein interactions; controlling these interactions in cells has important applications for reengineering biological functions. As many regulatory proteins are modular, considerable progress in engineering signaling circuits has been made by recombining commonly occurring domains. Our ability to predictably engineer cellular functions, however, is constrained by complex crosstalk observed in naturally occurring domains. Here we demonstrate a strategy for improving and simplifying protein network engineering: using computational design to create orthogonal (non-crossreacting) protein-protein interfaces. We validated the design of the interface between a key signaling protein, the GTPase Cdc42, and its activator, Intersectin, biochemically and by solving the crystal structure of the engineered complex. The designed GTPase (orthoCdc42) is activated exclusively by its engineered cognate partner (orthoIntersectin), but maintains the ability to interface with other GTPase signaling circuit components in vitro. In mammalian cells, orthoCdc42 activity can be regulated by orthoIntersectin, but not wild-type Intersectin, showing that the designed interaction can trigger complex processes. Computational design of protein interfaces thus promises to provide specific components that facilitate the predictable engineering of cellular functions.


    Organizational Affiliation

    Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94158, USA.




Macromolecules

Find similar proteins by: Sequence  |  Structure

Entity ID: 1
MoleculeChainsSequence LengthOrganismDetails
Cell division control protein 42 homolog
A, C
178Homo sapiensMutation(s): 1 
Gene Names: CDC42
Find proteins for P60953 (Homo sapiens)
Go to Gene View: CDC42
Go to UniProtKB:  P60953
Entity ID: 2
MoleculeChainsSequence LengthOrganismDetails
Intersectin-1
B, D
351Homo sapiensMutation(s): 1 
Gene Names: ITSN1 (ITSN, SH3D1A)
Find proteins for Q15811 (Homo sapiens)
Go to Gene View: ITSN1
Go to UniProtKB:  Q15811
Small Molecules
Ligands 1 Unique
IDChainsName / Formula / InChI Key2D Diagram3D Interactions
GDP
Query on GDP

Download SDF File 
Download CCD File 
A, C
GUANOSINE-5'-DIPHOSPHATE
C10 H15 N5 O11 P2
QGWNDRXFNXRZMB-UUOKFMHZSA-N
 Ligand Interaction
Experimental Data & Validation

Experimental Data

  • Method: X-RAY DIFFRACTION
  • Resolution: 2.65 Å
  • R-Value Free: 0.284 
  • R-Value Work: 0.241 
  • Space Group: P 1 21 1
Unit Cell:
Length (Å)Angle (°)
a = 85.460α = 90.00
b = 80.062β = 108.23
c = 94.591γ = 90.00
Software Package:
Software NamePurpose
HKL-2000data scaling
PHENIXrefinement
AMoREphasing
HKL-2000data reduction

Structure Validation

View Full Validation Report or Ramachandran Plots



Entry History 

Deposition Data

Revision History 

  • Version 1.0: 2012-02-08
    Type: Initial release
  • Version 1.1: 2012-03-21
    Type: Database references
  • Version 1.2: 2012-04-18
    Type: Database references
  • Version 1.3: 2012-04-25
    Type: Database references