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Differences in Binding Sites of Two Melatonin Receptors Help to Explain Their Selectivity to Some Melatonin Analogs: A Molecular Modeling Study
Authors:Anton O Chugunov  Amaury Farce  Philippe Chavatte  Roman G Efremov
Institution:1. Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry Russian Academy of Sciences , Ul. Miklukho-Maklaya 16/10 GSP, Moscow , 117997 , Russia;2. Department of Bioengineering Biological Faculty , M.V. Lomonosov Moscow State University , Vorobiovy gory, 119899 , Moscow;3. Faculté des Sciences Pharmaceutiques et Biologiques Laboratoire de Chimie Thérapeutique , EA1043, 3 rue du Professeur Laguesse BP 83, 59006 , Lille Cedex , France;4. Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry Russian Academy of Sciences , Ul. Miklukho-Maklaya 16/10 GSP, Moscow , 117997 , Russia
Abstract:Abstract

Numerous diseases have been linked to the malfunction of G-protein coupled receptors (GP-CRs). Their adequate treatment requires rational design of new high-affinity and high-selectivity drugs targeting these receptors. In this work, we report three-dimensional models of the human MT1 and MT2 melatonin receptors, members of the GPCR family. The models are based on the X-ray structure of bovine rhodopsin. The computational approach employs an original procedure for optimization of receptor-ligand structures. It includes rotation of one of the transmembrane α-helices around its axis with simultaneous assessment of quality of the resulting complexes according to a number of criteria we have developed for this purpose. The optimal geometry of the receptor-ligand binding is selected based on the analysis of complementarity of hydrophobic/hydrophilic properties between the ligand and its protein environment in the binding site. The elaborated “optimized” models are employed to explore the details of protein-ligand interactions for melatonin and a number of its analogs with known affinity to MT1 and MT2 receptors. The models permit rationalization of experimental data, including those that were not used in model building. The perspectives opened by the constructed models and by the optimization procedure in the design of new drugs are discussed.
Keywords:GPCR  Homology modeling  Molecular docking  Hydrophobic interactions  Receptor-ligand binding
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