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Investigating the Unbinding of Muscarinic Antagonists from the Muscarinic 3 Receptor

Buigues, Pedro J; Gehrke, Sascha; Badaoui, Magd; Dudas, Balint; Mandana, Gaurav; Qi, Tianyun; Bottegoni, Giovanni; (2023) Investigating the Unbinding of Muscarinic Antagonists from the Muscarinic 3 Receptor. Journal of Chemical Theory and Computation 10.1021/acs.jctc.3c00023. Green open access

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Abstract

Patient symptom relief is often heavily influenced by the residence time of the inhibitor–target complex. For the human muscarinic receptor 3 (hMR3), tiotropium is a long-acting bronchodilator used in conditions such as asthma or chronic obstructive pulmonary disease (COPD). The mechanistic insights into this inhibitor remain unclear; specifically, the elucidation of the main factors determining the unbinding rates could help develop the next generation of antimuscarinic agents. Using our novel unbinding algorithm, we were able to investigate ligand dissociation from hMR3. The unbinding paths of tiotropium and two of its analogues, N-methylscopolamin and homatropine methylbromide, show a consistent qualitative mechanism and allow us to identify the structural bottleneck of the process. Furthermore, our machine learning-based analysis identified key roles of the ECL2/TM5 junction involved in the transition state. Additionally, our results point to relevant changes at the intracellular end of the TM6 helix leading to the ICL3 kinase domain, highlighting the closest residue L482. This residue is located right between two main protein binding sites involved in signal transduction for hMR3′s activation and regulation. We also highlight key pharmacophores of tiotropium that play determining roles in the unbinding kinetics and could aid toward drug design and lead optimization.

Type: Article
Title: Investigating the Unbinding of Muscarinic Antagonists from the Muscarinic 3 Receptor
Open access status: An open access version is available from UCL Discovery
DOI: 10.1021/acs.jctc.3c00023
Publisher version: https://doi.org/10.1021/acs.jctc.3c00023
Language: English
Additional information: © 2023 The Authors. Published by American Chemical Society. https://creativecommons.org/licenses/by/4.0/
Keywords: Chemical structure, Computational chemistry, Ligands, Molecules, Receptors
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Physics and Astronomy
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10173698
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