Literature DB >> 24100032

Identifying key amino acid residues that affect α-conotoxin AuIB inhibition of α3β4 nicotinic acetylcholine receptors.

Anton A Grishin1, Hartmut Cuny, Andrew Hung, Richard J Clark, Andreas Brust, Kalyana Akondi, Paul F Alewood, David J Craik, David J Adams.   

Abstract

α-Conotoxin AuIB is a selective α3β4 nicotinic acetylcholine receptor (nAChR) subtype inhibitor. Its analgesic properties are believed to result from it activating GABAB receptors and subsequently inhibiting CaV2.2 voltage-gated calcium channels. The structural determinants that mediate diverging AuIB activity at these targets are unknown. We performed alanine scanning mutagenesis of AuIB and α3β4 nAChR, homology modeling, and molecular dynamics simulations to identify the structural determinants of the AuIB·α3β4 nAChR interaction. Two alanine-substituted AuIB analogues, [P6A]AuIB and [F9A]AuIB, did not inhibit the α3β4 nAChR. NMR and CD spectroscopy studies demonstrated that [F9A]AuIB retains its native globular structure, so its activity loss is probably due to loss of specific toxin-receptor residue pairwise contacts. Compared with AuIB, the concentration-response curve for inhibition of α3β4 by [F9A]AuIB shifted rightward more than 10-fold, and its subtype selectivity profile changed. Homology modeling and molecular dynamics simulations suggest that Phe-9 of AuIB interacts with a two-residue binding pocket on the β4 nAChR subunit. This hypothesis was confirmed by site-directed mutagenesis of the β4-Trp-59 and β4-Lys-61 residues of loop D, which form a putative binding pocket. AuIB analogues with Phe-9 substitutions corroborated the finding of a binding pocket on the β4 subunit and gave further insight into how AuIB Phe-9 interacts with the β4 subunit. In summary, we identified critical residues that mediate interactions between AuIB and its cognate nAChR subtype. These findings might help improve the design of analgesic conopeptides that selectively "avoid" nAChR receptors while targeting receptors involved with nociception.

Entities:  

Keywords:  Cyonotoxin; Electrophysiology; Molecular Docking; Molecular Modeling; NMR; Nicotinic Acetylcholine Receptors; Peptide Chemical Synthesis; Site-directed Mutagenesis; Xenopus Oocyte

Mesh:

Substances:

Year:  2013        PMID: 24100032      PMCID: PMC3843058          DOI: 10.1074/jbc.M113.512582

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  76 in total

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  20 in total

1.  Identifying key amino acid residues that affect α-conotoxin AuIB inhibition of α3β4 nicotinic acetylcholine receptors.

Authors:  Anton A Grishin; Hartmut Cuny; Andrew Hung; Richard J Clark; Andreas Brust; Kalyana Akondi; Paul F Alewood; David J Craik; David J Adams
Journal:  J Biol Chem       Date:  2013-10-07       Impact factor: 5.157

Review 2.  α-Conotoxins active at α3-containing nicotinic acetylcholine receptors and their molecular determinants for selective inhibition.

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3.  On the inhibition of capsaicin response in dorsal root ganglion neurons by nobilamide B and analogues: a structure-activity relationship study.

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5.  Key Structural Determinants in the Agonist Binding Loops of Human β2 and β4 Nicotinic Acetylcholine Receptor Subunits Contribute to α3β4 Subtype Selectivity of α-Conotoxins.

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7.  Alanine scan of α-conotoxin RegIIA reveals a selective α3β4 nicotinic acetylcholine receptor antagonist.

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9.  Genetic Algorithm Managed Peptide Mutant Screening: Optimizing Peptide Ligands for Targeted Receptor Binding.

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Review 10.  Venom-Derived Neurotoxins Targeting Nicotinic Acetylcholine Receptors.

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