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<dc:title xml:lang="fr">Conception rationnelle des agonistes, antagonistes et modulateurs allostériques des récepteurs synaptiques</dc:title>
<dcterms:alternative xml:lang="en">Rational design of agonists, antagonists and allosteric modulators of synaptic receptors</dcterms:alternative>
<dc:subject xml:lang="fr">Dynamique moléculaire</dc:subject>
<dc:subject xml:lang="fr">QM/MM</dc:subject>
<dc:subject xml:lang="fr">GlyR</dc:subject>
<dc:subject xml:lang="fr">NAChR</dc:subject>
<dc:subject xml:lang="fr">AChBP</dc:subject>
<dc:subject xml:lang="fr">ABFE</dc:subject>
<dc:subject xml:lang="fr">RBFE</dc:subject>
<dc:subject xml:lang="fr">Modèle de Monod-Wyman-Changeux</dc:subject>
<dc:subject xml:lang="fr">Pharmacologie</dc:subject>
<dc:subject xml:lang="fr">Apprentissage actif</dc:subject>
<dc:subject xml:lang="fr">Criblage virtuel</dc:subject>
<dc:subject xml:lang="fr">PLGIC</dc:subject>
<dc:subject xml:lang="fr">Prédictions d'énergie libre</dc:subject>
<dc:subject xml:lang="fr">Champs de force</dc:subject>
<dc:subject xml:lang="fr">Interactions cation-π</dc:subject>
<dc:subject xml:lang="fr">Récepteurs synaptiques</dc:subject>
<dc:subject xml:lang="fr">Neurotransmetteurs agonistes</dc:subject>
<dc:subject xml:lang="en">Molecular dynamics</dc:subject>
<dc:subject xml:lang="en">QM/MM</dc:subject>
<dc:subject xml:lang="en">GlyR</dc:subject>
<dc:subject xml:lang="en">NAChR</dc:subject>
<dc:subject xml:lang="en">AChBP</dc:subject>
<dc:subject xml:lang="en">ABFE</dc:subject>
<dc:subject xml:lang="en">RBFE</dc:subject>
<dc:subject xml:lang="en">Monod-Wyman-Changeux model</dc:subject>
<dc:subject xml:lang="en">Pharmacology</dc:subject>
<dc:subject xml:lang="en">Active learning</dc:subject>
<dc:subject xml:lang="en">Virtual screening</dc:subject>
<dc:subject xml:lang="en">PLGIC</dc:subject>
<dc:subject xml:lang="en">Free energy predictions</dc:subject>
<dc:subject xml:lang="en">Force fields</dc:subject>
<dc:subject xml:lang="en">Cation-π interactions</dc:subject>
<dc:subject xml:lang="en">Synaptic receptors</dc:subject>
<dc:subject xml:lang="en">Agonist neurotransmitters</dc:subject>
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<tef:elementdEntree autoriteExterne="027823008" autoriteSource="Sudoc">Dynamique moléculaire</tef:elementdEntree>
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<tef:elementdEntree autoriteExterne="027410390" autoriteSource="Sudoc">Pharmacologie</tef:elementdEntree>
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<tef:vedetteRameauNomCommun>
<tef:elementdEntree autoriteExterne="291809081" autoriteSource="Sudoc">Apprentissage actif (intelligence artificielle)</tef:elementdEntree>
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<tef:vedetteRameauNomCommun>
<tef:elementdEntree autoriteExterne="11839763X" autoriteSource="Sudoc">Criblage pharmacologique</tef:elementdEntree>
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<tef:vedetteRameauNomCommun>
<tef:elementdEntree autoriteExterne="204370094" autoriteSource="Sudoc">Champs de force (chimie)</tef:elementdEntree>
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<tef:vedetteRameauNomCommun>
<tef:elementdEntree autoriteExterne="027744671" autoriteSource="Sudoc">Neurotransmetteurs -- Récepteurs</tef:elementdEntree>
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<tef:vedetteRameauNomCommun>
<tef:elementdEntree autoriteExterne="027744671" autoriteSource="Sudoc">Neurotransmetteurs -- Récepteurs</tef:elementdEntree>
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<dcterms:abstract xml:lang="fr">Les canaux ioniques pentamériques ligand-dépendants (pLGIC) assurent la transmission synaptique ; leur dysfonctionnement est à l'origine de troubles neurologiques, ce qui en fait des cibles thérapeutiques intéressantes. Cette thèse propose une preuve de principe in silico du cadre Monod-Wyman-Changeux (MWC) de la pharmacologie des modulateurs pLGIC. Grâce à la dynamique moléculaire QM/MM, nous montrons que les champs de force standards reproduisent la position du neurotransmetteur dans le récepteur de la glycine (GlyR). Ensuite, sur le substitut du récepteur nicotinique de l'acétylcholine, nous testons les calculs d'énergie libre de liaison, obtenant une bonne concordance avec l'expérience. Sur cette base, nous classons les modulateurs GlyR par force agoniste via des calculs d'énergie libre de liaison. Enfin, nous présentons un processus de criblage virtuel couplant l'apprentissage actif aux calculs d'énergie libre, ouvrant la voie à la conception rationnelle de modulateurs pLGIC.</dcterms:abstract>
<dcterms:abstract xml:lang="en">Pentameric ligand-gated ion channels (pLGICs) mediate fast synaptic transmission; their dysfunction underlies major neurological disorders, making them compelling drug targets. This Thesis delivers an in silico proof-of-principle of the Monod-Wyman-Changeux (MWC) framework extended to the pharmacology of pLGIC modulators. Using advanced QM/MM molecular dynamics, we show that standard force fields reproduce the neurotransmitter pose and interactions in the orthosteric site of the glycine receptor (GlyR). Then, on the extracellular surrogate of the nicotinic acetylcholine receptor, we test absolute binding free energy calculations, obtaining good agreement with experiment. Building on this, we rank GlyR modulators by agonistic strength via relative binding free energy calculations. Finally, we outline a scalable virtual-screening workflow coupling active learning with absolute binding free energy calculations, paving the way to rational design of pLGIC modulators.</dcterms:abstract>
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