ArticlePLoS computational biology2011
Blockade of neuronal α7-nAChR by α-conotoxin ImI explained by computational scanning and energy calculations.
Article in PLoS computational biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
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Who cites it
48 citing papers in PubMed.
- Discovery of novel tumor-targeting peptide-oncolytic peptide based conjugates (PPCs): A new paradigm for targeted oncolytic-immunotherapy.Acta pharmaceutica Sinica. B · 2026Article
- The Potential and Prospects of Marine Drugs in Intervening Nerve-Tumor Crosstalk.Marine drugs · 2026Review
- A deep learning framework (CreoPep) for target-specific design and optimization of conotoxin peptides.Communications chemistry · 2026Article
- Diverse toxins exhibit a common binding mode to the nicotinic acetylcholine receptors.Biophysical journal · 2025Article
- Molecular insights into the α6β4 nicotinic acetylcholine receptor function and ligand recognition.Nature communications · 2025Article
- In Silico Conotoxin Studies: Progress and Prospects.Molecules (Basel, Switzerland) · 2024Review
- Computational Design of α-Conotoxins to Target Specific Nicotinic Acetylcholine Receptor Subtypes.Chemistry (Weinheim an der Bergstrasse, Germany) · 2024Article
- Nucleus-exported CLOCK acetylates PRPS to promote de novo nucleotide synthesis and liver tumour growth.Nature cell biology · 2023Article
- MomL inhibits bacterial antibiotic resistance through the starvation stringent response pathway.mLife · 2022Article
- Mechanism of interactions between α-conotoxin RegIIA and carbohydrates at the human α3β4 nicotinic acetylcholine receptor.Marine life science & technology · 2022Article
- High-Throughput Prediction and Design of Novel Conopeptides for Biomedical Research and Development.Biodesign research · 2022Article
- Interactions of Globular and Ribbon [γ4E]GID with α4β2 Neuronal Nicotinic Acetylcholine Receptor.Marine drugs · 2021Article
- The Allosteric Activation of α7 nAChR by α-Conotoxin MrIC Is Modified by Mutations at the Vestibular Site.Toxins · 2021Article
- Potency- and Selectivity-Enhancing Mutations of Conotoxins for Nicotinic Acetylcholine Receptors Can Be Predicted Using Accurate Free-Energy Calculations.Marine drugs · 2021Article
- A Computational Analysis of the Factors Governing the Dynamics of α7 nAChR and Its Homologs.Biophysical journal · 2020Article
- Nicotinic receptor pharmacology in silico: Insights and challenges.Neuropharmacology · 2020Review
- Article
- Interactions of the α3β2 Nicotinic Acetylcholine Receptor Interfaces with α-Conotoxin LsIA and its Carboxylated C-terminus Analogue: Molecular Dynamics Simulations.Marine drugs · 2020Article
- In Silico Modeling of the α7 Nicotinic Acetylcholine Receptor: New Pharmacological Challenges Associated with Multiple Modes of Signaling.Mini reviews in medicinal chemistry · 2020Review
- ConoMode, a database for conopeptide binding modes.Database : the journal of biological databases and curation · 2020Article
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3 authors.
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Abstract
α-Conotoxins potently inhibit isoforms of nicotinic acetylcholine receptors (nAChRs), which are essential for neuronal and neuromuscular transmission. They are also used as neurochemical tools to study nAChR physiology and are being evaluated as drug leads to treat various neuronal disorders. A number of experimental studies have been performed to investigate the structure-activity relationships of conotoxin/nAChR complexes. However, the structural determinants of their binding interactions are still ambiguous in the absence of experimental structures of conotoxin-receptor complexes. In this study, the binding modes of α-conotoxin ImI to the α7-nAChR, currently the best-studied system experimentally, were investigated using comparative modeling and molecular dynamics simulations. The structures of more than 30 single point mutants of either the conotoxin or the receptor were modeled and analyzed. The models were used to explain qualitatively the change of affinities measured experimentally, including some nAChR positions located outside the binding site. Mutational energies were calculated using different methods that combine a conformational refinement procedure (minimization with a distance dependent dielectric constant or explicit water, or molecular dynamics using five restraint strategies) and a binding energy function (MM-GB/SA or MM-PB/SA). The protocol using explicit water energy minimization and MM-GB/SA gave the best correlations with experimental binding affinities, with an R2 value of 0.74. The van der Waals and non-polar desolvation components were found to be the main driving force for binding of the conotoxin to the nAChR. The electrostatic component was responsible for the selectivity of the various ImI mutants. Overall, this study provides novel insights into the binding mechanism of α-conotoxins to nAChRs and the methodological developments reported here open avenues for computational scanning studies of a rapidly expanding range of wild-type and chemically modified α-conotoxins.
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