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      Fast Screening of Inhibitor Binding/Unbinding Using Novel Software Tool CaverDock

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          Abstract

          Protein tunnels and channels are attractive targets for drug design. Drug molecules that block the access of substrates or release of products can be efficient modulators of biological activity. Here, we demonstrate the applicability of a newly developed software tool CaverDock for screening databases of drugs against pharmacologically relevant targets. First, we evaluated the effect of rigid and flexible side chains on sets of substrates and inhibitors of seven different proteins. In order to assess the accuracy of our software, we compared the results obtained from CaverDock calculation with experimental data previously collected with heat shock protein 90α. Finally, we tested the virtual screening capabilities of CaverDock with a set of oncological and anti-inflammatory FDA-approved drugs with two molecular targets—cytochrome P450 17A1 and leukotriene A4 hydrolase/aminopeptidase. Calculation of rigid trajectories using four processors took on average 53 min per molecule with 90% successfully calculated cases. The screening identified functional tunnels based on the profile of potential energies of binding and unbinding trajectories. We concluded that CaverDock is a sufficiently fast, robust, and accurate tool for screening binding/unbinding processes of pharmacologically important targets with buried functional sites. The standalone version of CaverDock is available freely at https://loschmidt.chemi.muni.cz/caverdock/ and the web version at https://loschmidt.chemi.muni.cz/caverweb/.

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          Most cited references56

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          Software for molecular docking: a review.

          Molecular docking methodology explores the behavior of small molecules in the binding site of a target protein. As more protein structures are determined experimentally using X-ray crystallography or nuclear magnetic resonance (NMR) spectroscopy, molecular docking is increasingly used as a tool in drug discovery. Docking against homology-modeled targets also becomes possible for proteins whose structures are not known. With the docking strategies, the druggability of the compounds and their specificity against a particular target can be calculated for further lead optimization processes. Molecular docking programs perform a search algorithm in which the conformation of the ligand is evaluated recursively until the convergence to the minimum energy is reached. Finally, an affinity scoring function, ΔG [U total in kcal/mol], is employed to rank the candidate poses as the sum of the electrostatic and van der Waals energies. The driving forces for these specific interactions in biological systems aim toward complementarities between the shape and electrostatics of the binding site surfaces and the ligand or substrate.
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            Free energy calculations: Applications to chemical and biochemical phenomena

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              Structure and Dynamics of the M3 Muscarinic Acetylcholine Receptor

              Acetylcholine (ACh), the first neurotransmitter to be identified 1 , exerts many of its physiological actions via activation of a family of G protein-coupled receptors (GPCRs) known as muscarinic ACh receptors (mAChRs). Although the five mAChR subtypes (M1-M5) share a high degree of sequence homology, they show pronounced differences in G protein coupling preference and the physiological responses they mediate. 2–4 Unfortunately, despite decades of effort, no therapeutic agents endowed with clear mAChR subtype selectivity have been developed to exploit these differences. 5–6 We describe here the structure of the Gq/11-coupled M3 mAChR bound to the bronchodilator drug tiotropium and identify the binding mode for this clinically important drug. This structure, together with that of the Gi/o-coupled M2 receptor, offers new possibilities for the design of mAChR subtype-selective ligands. Importantly, the M3 receptor structure allows the first structural comparison between two members of a mammalian GPCR subfamily displaying different G-protein coupling selectivities. Furthermore, molecular dynamics simulations suggest that tiotropium binds transiently to an allosteric site en route to the binding pocket of both receptors. These simulations offer a structural view of an allosteric binding mode for an orthosteric GPCR ligand and raise additional opportunities for the design of ligands with different affinities or binding kinetics for different mAChR subtypes. Our findings not only offer new insights into the structure and function of one of the most important GPCR families, but may also facilitate the design of improved therapeutics targeting these critical receptors.
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                Author and article information

                Contributors
                Journal
                Front Chem
                Front Chem
                Front. Chem.
                Frontiers in Chemistry
                Frontiers Media S.A.
                2296-2646
                29 October 2019
                2019
                : 7
                : 709
                Affiliations
                [1] 1Loschmidt Laboratories, Department of Experimental Biology and RECETOX, Faculty of Science, Masaryk University , Brno, Czechia
                [2] 2International Centre for Clinical Research, St. Anne's University Hospital Brno , Brno, Czechia
                [3] 3Institute of Computer Science, Masaryk University , Brno, Czechia
                Author notes

                Edited by: Kamil Kuca, University of Hradec Králové, Czechia

                Reviewed by: Ariel Fernandez, National Council for Scientific and Technical Research (CONICET), Argentina; Dr. Rajeev K. Singla, K.R. Mangalam University, India

                *Correspondence: David Bednar 222755@ 123456mail.muni.cz

                This article was submitted to Medicinal and Pharmaceutical Chemistry, a section of the journal Frontiers in Chemistry

                †These authors have contributed equally to this work

                Article
                10.3389/fchem.2019.00709
                6828983
                31737596
                da8de49d-e357-4ce3-92ed-991bfa60136b
                Copyright © 2019 Pinto, Vavra, Filipovic, Stourac, Bednar and Damborsky.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 16 June 2019
                : 09 October 2019
                Page count
                Figures: 8, Tables: 2, Equations: 0, References: 74, Pages: 14, Words: 9532
                Categories
                Chemistry
                Original Research

                binding,docking,channel,unbinding,virtual screening,inhibitors,substrates,tunnel

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