Literature DB >> 27721068

Molecular simulation study of the unbinding of α-conotoxin [ϒ4E]GID at the α7 and α4β2 neuronal nicotinic acetylcholine receptors.

Abishek Suresh1, Andrew Hung2.   

Abstract

The α7 and α4β2 neuronal nicotinic receptors belonging to the family of ligand-gated ion channels are most prevalent in the brain, and are implicated in various neurodegenerative disorders. α-conotoxin GID (and its analogue [ϒ4E]GID) specifically inhibits these subtypes, with more affinity towards the human α7 (hα7) subtype, and is valuable in understanding the physiological roles of these receptors. In this study, we use umbrella-sampling molecular dynamics simulations to understand the mechanism of interaction between [ϒ4E]GID and the agonist binding pockets of the α4β2 and the hα7 receptors, and to estimate their relative binding affinities (ΔGbind). The obtained ΔGbind values indicate stronger interaction with the hα7 receptor, in agreement with previous experimental studies. Simulations also revealed different unbinding pathways between the two receptor subtypes, enabling identification of a number of interactions at locations far from the orthosteric binding site which may explain the difference in [ϒ4E]GID potency. The pathways identified will help in the design of novel conotoxins with increased potency at α4β2, for which there is currently no known highly potent conotoxin inhibitor. Computational mutational free energy analyses also revealed a number of possible single-site mutations to GID which might enhance its selective binding to α4β2 over α7. Copyright Â
© 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Antagonist; Binding-free energy; Conotoxins; Molecular-dynamics simulations; Nicotinic acetylcholine receptors; Umbrella-sampling

Mesh:

Substances:

Year:  2016        PMID: 27721068     DOI: 10.1016/j.jmgm.2016.09.006

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  8 in total

1.  Exploring the binding energy profiles of full agonists, partial agonists, and antagonists of the α7 nicotinic acetylcholine receptor.

Authors:  Nargis Tabassum; Qianyun Ma; Guanzhao Wu; Tao Jiang; Rilei Yu
Journal:  J Mol Model       Date:  2017-08-02       Impact factor: 1.810

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

Authors:  Abba E Leffler; Alexander Kuryatov; Henry A Zebroski; Susan R Powell; Petr Filipenko; Adel K Hussein; Juliette Gorson; Anna Heizmann; Sergey Lyskov; Richard W Tsien; Sébastien F Poget; Annette Nicke; Jon Lindstrom; Bernardo Rudy; Richard Bonneau; Mandë Holford
Journal:  Proc Natl Acad Sci U S A       Date:  2017-09-05       Impact factor: 11.205

3.  Determination of the μ-Conotoxin PIIIA Specificity Against Voltage-Gated Sodium Channels from Binding Energy Calculations.

Authors:  Fangling Chen; Wenxin Huang; Tao Jiang; Rilei Yu
Journal:  Mar Drugs       Date:  2018-05-07       Impact factor: 5.118

4.  Interactions of the α3β2 Nicotinic Acetylcholine Receptor Interfaces with α-Conotoxin LsIA and its Carboxylated C-terminus Analogue: Molecular Dynamics Simulations.

Authors:  Jierong Wen; David J Adams; Andrew Hung
Journal:  Mar Drugs       Date:  2020-07-03       Impact factor: 5.118

5.  A potential interaction between the SARS-CoV-2 spike protein and nicotinic acetylcholine receptors.

Authors:  A Sofia F Oliveira; Amaurys Avila Ibarra; Isabel Bermudez; Lorenzo Casalino; Zied Gaieb; Deborah K Shoemark; Timothy Gallagher; Richard B Sessions; Rommie E Amaro; Adrian J Mulholland
Journal:  Biophys J       Date:  2021-02-18       Impact factor: 4.033

Review 6.  In Silico Modeling of the α7 Nicotinic Acetylcholine Receptor: New Pharmacological Challenges Associated with Multiple Modes of Signaling.

Authors:  Alican Gulsevin; Roger L Papke; Nicole Horenstein
Journal:  Mini Rev Med Chem       Date:  2020       Impact factor: 3.862

Review 7.  Neuronal Nicotinic Acetylcholine Receptor Modulators from Cone Snails.

Authors:  Nikita Abraham; Richard J Lewis
Journal:  Mar Drugs       Date:  2018-06-13       Impact factor: 5.118

8.  Potency- and Selectivity-Enhancing Mutations of Conotoxins for Nicotinic Acetylcholine Receptors Can Be Predicted Using Accurate Free-Energy Calculations.

Authors:  Dana Katz; Michael A DiMattia; Dan Sindhikara; Hubert Li; Nikita Abraham; Abba E Leffler
Journal:  Mar Drugs       Date:  2021-06-25       Impact factor: 5.118

  8 in total

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