Global ETD Search

1	A STUDY OF THE MECHANISM BY WHICH BETA2-ADRENERGIC RECEPTOR STIMULATION ON A B CELL REGULATES IgE PRODUCTION McAlees, Jaclyn Walisa 08 September 2009 (has links) No description available. Immunology B cell IgE allergic asthma beta2-adrenergic receptor HePTP
2	Implication de GASP-1 dans la modulation de l’activité des agonistes du récepteur bêta-2 adrénergique dans la fonction respiratoire / lnvolvement of GASP-1 in the modulation of the activity of beta2-adrenergic receptor agonists in the respiratory function Abu-Helo, Alaa 29 September 2014 (has links) GASP1 modulerait le trafic intracellulaire des RCPG après endocytose provoquée par les ligands. Au cours de ce travail nous nous sommes focalisés sur l’interaction de GASP-1 avec le récepteur beta2-adrénergique (B2AR) et ses conséquences fonctionnelles. Les agonistes du récepteur B2AR sont des bronchodilatateurs puissants utilisés dans le traitement de l’asthme. Avec le Dr N. Frossard, nous avons montré qu'un traitement chronique avec un agoniste B2AR induit le développement d'une hyper-réactivitée bronchique chez les souris sauvages mais pas chez les KO GASP1. Ce phénotype n’est pas relié à une différence dans la dégradation du récepteur B2AR entre les souris sauvages et KO GASP-1 mais est corrélé avec une augmentation du niveau de collagène dans les poumons des souris sauvages. Nos résultats indiquent que GASP1 joue un rôle important dans ce phénomène adaptatif qui serait relié à un remaniement des tissus bronchiques dépendant de cette protéine. / GASP1 have been shown to modulate the postendocytic sorting of different GPCRs.In order to better understand the role of GASP1 in regulating the activity and intracellular traffic king of GPCRs, we have focused our project on the functional consequences of the interaction between GASP1 and beta2-adrenergic receptor (B2AR). B2AR agonists are potent bronchodilators used in the treatment of asthma. With Dr. N. Frossard, we have shown that achronic treatment with a B2AR agonist induces the development of bronchial hyperresponsiveness in wild-type but not in KO GASP1 mice. Furthermore, we have shown that this phenotype is not related to a difference of B2AR receptor degradation between wild type and KO animals but correlates with an increase in collagen levels in the lungs of wild type mice that is not observed in GASP1KO animals. Altogether, our data suggest thatGASP1 is critically involved in these adaptations, which could be related to a GASP1-dependent modification of lung tissues. RCPG GASP1 Récepteur bêta-2 adrénergique Asthme GPCR GASP1 Beta2-adrenergic receptor Asthma 572.4 573.2 616.2
3	Identifying effects of adrenaline and dopamine binding on the beta2-adrenergic receptor structure and function using machine learning Gunnarsson, Joar, Bergner, Leon January 2023 (has links) The beta2-adrenergic receptor is a G-protein coupled receptor, involved in several physiological processes, which enables signaling through the cell membrane. To study the effect of dopamine and adrenaline binding on the receptor structure and function, we used machine learning methods applied to data from molecular dynamics simulations. We found that the three machine learning methods Random Forest, Kullback-Leibler divergence, and Principal Component Analysis generated results that correspond to previous studies. When comparing the active state of the receptor with or without a ligand bound, we found that residues around Ser203 and Asn301 of the orthosteric binding pocket and residues around Ala91 of the TM2 differed. When instead comparing the active state of the receptor with adrenaline or dopamine bound, we found that residues around Thr68 differed. Additionally, we also found that adrenaline and dopamine cause different structural changes in the intracellular parts of TM5 and TM6. These findings indicate ligand-specific effects on the receptor, providing potentially useful information for the understanding of the interaction of adrenaline and dopamine with the beta2-adrenergic receptor. beta2-adrenergic receptor GPCR adrenaline dopamine Machine learning Molecular dynamics simulation Physical Sciences Fysik
4	Homology modeling and structural analysis of the antipsychotic drugs receptorome López Muñoz, Laura 22 June 2010 (has links) Classically it was assumed that the compounds with therapeutic effect exert their action interacting with a single receptor. Nowadays it is widely recognized that the pharmacological effect of most drugs is more complex and involves a set of receptors, some associated to their positive effects and some others to the side effects and toxicity. Antipsychotic drugs are an example of effective compounds characterized by a complex pharmacological profile binding to several receptors (mainly G protein-coupled-receptors, GPCR). In this work we will present a detailed study of known antipsychotic drugs and the receptors potentially involved in their binding profile, in order to understand the molecular mechanisms of the antipsychotic pharmacologic effects.The study started with obtaining homology models for all the receptors putatively involved in the antipsychotic drugs receptorome, suitable for building consistent drug-receptor complexes. These complexes were structurally analyzed and compared using multivariate statistical methods, which in turn allowed the identification of the relationship between the pharmacological properties of the antipsychotic drugs and the structural differences in the receptor targets. The results can be exploited for the design of safer and more effective antipsychotic drugs with an optimum binding profile. / Tradicionalmente se asumía que los fármacos terapéuticamente efectivos actuaban interaccionando con un único receptor. Actualmente está ampliamente reconocido que el efecto farmacológico de la mayoría de los fármacos es más complejo y abarca a un conjunto de receptores, algunos asociados a los efectos terapéuticos y otros a los secundarios y toxicidad. Los fármacos antipsicóticos son un ejemplo de compuestos eficaces que se caracterizan por unirse a varios receptores simultáneamente (principalmente a receptores unidos a proteína G, GPCR). El trabajo de la presente tesis se ha centrado en el estudio de los mecanismos moleculares que determinan el perfil de afinidad de unión por múltiples receptores de los fármacos antipsicóticos.En primer lugar se construyeron modelos de homología para todos los receptores potencialmente implicados en la actividad farmacológica de dichos fármacos, usando una metodología adecuada para construir complejos fármaco-receptor consistentes. La estructura de estos complejos fue analizada y se llevó a cabo una comparación mediante métodos estadísticos multivariantes, que permitió la identificación de asociaciones entre la actividad farmacológica de los fármacos antipsicóticos y diferencias estructurales de los receptores diana. Los resultados obtenidos tienen interés para ser explotados en el diseño de fármacos antipsicóticos con un perfil farmacológico óptimo, más seguros y eficaces. Receptor 5-HT2A Receptor D3 Receptor D2 Ligando Clozapina Derivados Benzofuranonas Risperidona Olanzapina esquizofrenia métodos de regresión campos de interacción Molecular (MIF) Perfil Multireceptorial modelado por homología Docking sitio de unión interacciones moleculares selectividad afinidad de unión Diana Meta-Diana efectos secundarios fármaco antipsicótico típico fármaco antipsicótico atípico agonista antagonista membrana receptoroma rhodopsina estructura de rayos X descriptores moleculares farmacología análisis multivariante procedimiento integrado Computer-aided drug design Integrated approach Multivariate analysis Pharmacology Molecular descriptors X-ray structure Rhodopsin Receptorome Membrane Antagonist Agonist Atypical antipsychotic drug Typical antipsychotic drug Side effects Off-target Target Selectivity Binding affinity Molecular interactions Binding site Homology modeling Docking Multireceptor profile Molecular interaction Field (MIF) Partial Least Squares (PLS) Principal Component Analysis (PCA) Schizophrenia Benzolactam Derivatives Benzofuranone Derivatives Risperidone Olanzapine Clozapine Ligand Adrenergic receptors Muscarinic receptors Histamine receptors Serotonin receptors Dopamine receptors beta2-Adrenergic receptor D2 receptor D3 receptor 5-HT2A receptor G protein-coupled receptors (GPCR) 57

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