5UG3

NMR SOLUTION STRUCTURE OF ALPHA-CONOTOXIN GID MUTANT A10V


Experimental Data Snapshot

  • Method: SOLUTION NMR
  • Conformers Calculated: 50 
  • Conformers Submitted: 20 
  • Selection Criteria: structures with the lowest energy 

wwPDB Validation   3D Report Full Report


This is version 1.4 of the entry. See complete history


Literature

Discovery of peptide ligands through docking and virtual screening at nicotinic acetylcholine receptor homology models.

Leffler, A.E.Kuryatov, A.Zebroski, H.A.Powell, S.R.Filipenko, P.Hussein, A.K.Gorson, J.Heizmann, A.Lyskov, S.Tsien, R.W.Poget, S.F.Nicke, A.Lindstrom, J.Rudy, B.Bonneau, R.Holford, M.

(2017) Proc Natl Acad Sci U S A 114: E8100-E8109

  • DOI: 10.1073/pnas.1703952114
  • Primary Citation of Related Structures:  
    5UG3, 5UG5

  • PubMed Abstract: 
  • Venom peptide toxins such as conotoxins play a critical role in the characterization of nicotinic acetylcholine receptor (nAChR) structure and function and have potential as nervous system therapeutics as well. However, the lack of solved structures of conotoxins bound to nAChRs and the large size of these peptides are barriers to their computational docking and design ...

    Venom peptide toxins such as conotoxins play a critical role in the characterization of nicotinic acetylcholine receptor (nAChR) structure and function and have potential as nervous system therapeutics as well. However, the lack of solved structures of conotoxins bound to nAChRs and the large size of these peptides are barriers to their computational docking and design. We addressed these challenges in the context of the α4β2 nAChR, a widespread ligand-gated ion channel in the brain and a target for nicotine addiction therapy, and the 19-residue conotoxin α-GID that antagonizes it. We developed a docking algorithm, ToxDock, which used ensemble-docking and extensive conformational sampling to dock α-GID and its analogs to an α4β2 nAChR homology model. Experimental testing demonstrated that a virtual screen with ToxDock correctly identified three bioactive α-GID mutants (α-GID[A10V], α-GID[V13I], and α-GID[V13Y]) and one inactive variant (α-GID[A10Q]). Two mutants, α-GID[A10V] and α-GID[V13Y], had substantially reduced potency at the human α7 nAChR relative to α-GID, a desirable feature for α-GID analogs. The general usefulness of the docking algorithm was highlighted by redocking of peptide toxins to two ion channels and a binding protein in which the peptide toxins successfully reverted back to near-native crystallographic poses after being perturbed. Our results demonstrate that ToxDock can overcome two fundamental challenges of docking large toxin peptides to ion channel homology models, as exemplified by the α-GID:α4β2 nAChR complex, and is extendable to other toxin peptides and ion channels. ToxDock is freely available at rosie.rosettacommons.org/tox_dock.


    Organizational Affiliation

    Program in Biochemistry, The Graduate Center, City University of New York, New York, NY 10016.



Macromolecules
  • Find similar proteins by:  Sequence   |   Structure
Entity ID: 1
MoleculeChainsSequence LengthOrganismDetailsImage
Alpha-conotoxin GIDA19Conus geographusMutation(s): 1 
UniProt
Find proteins for P60274 (Conus geographus)
Explore P60274 
Go to UniProtKB:  P60274
Protein Feature View
Expand
  • Reference Sequence
Small Molecules
Modified Residues  1 Unique
IDChainsTypeFormula2D DiagramParent
HYP
Query on HYP
AL-PEPTIDE LINKINGC5 H9 N O3PRO
Experimental Data & Validation

Experimental Data

  • Method: SOLUTION NMR
  • Conformers Calculated: 50 
  • Conformers Submitted: 20 
  • Selection Criteria: structures with the lowest energy 
  • OLDERADO: 5UG3 Olderado

Structure Validation

View Full Validation Report




Entry History & Funding Information

Deposition Data


Funding OrganizationLocationGrant Number
National Science Foundation (NSF, United States)United StatesMCB-1253277

Revision History  (Full details and data files)

  • Version 1.0: 2017-09-06
    Type: Initial release
  • Version 1.1: 2017-09-20
    Changes: Database references
  • Version 1.2: 2017-10-04
    Changes: Database references
  • Version 1.3: 2019-11-27
    Changes: Author supporting evidence, Data collection
  • Version 1.4: 2019-12-04
    Changes: Experimental preparation