Littérature scientifique sur le sujet « Class A GPCR »
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Articles de revues sur le sujet "Class A GPCR"
Vidad, Ashley Ryan, Stephen Macaspac et Ho Leung Ng. « Locating ligand binding sites in G-protein coupled receptors using combined information from docking and sequence conservation ». PeerJ 9 (24 septembre 2021) : e12219. http://dx.doi.org/10.7717/peerj.12219.
Texte intégralHou, Tianling, Yuemin Bian, Terence McGuire et Xiang-Qun Xie. « Integrated Multi-Class Classification and Prediction of GPCR Allosteric Modulators by Machine Learning Intelligence ». Biomolecules 11, no 6 (11 juin 2021) : 870. http://dx.doi.org/10.3390/biom11060870.
Texte intégralSato. « Conserved 2nd Residue of Helix 8 of GPCR May Confer the Subclass-Characteristic and Distinct Roles through a Rapid Initial Interaction with Specific G Proteins ». International Journal of Molecular Sciences 20, no 7 (9 avril 2019) : 1752. http://dx.doi.org/10.3390/ijms20071752.
Texte intégralVohra, Shabana, Bruck Taddese, Alex C. Conner, David R. Poyner, Debbie L. Hay, James Barwell, Philip J. Reeves, Graham J. G. Upton et Christopher A. Reynolds. « Similarity between class A and class B G-protein-coupled receptors exemplified through calcitonin gene-related peptide receptor modelling and mutagenesis studies ». Journal of The Royal Society Interface 10, no 79 (6 février 2013) : 20120846. http://dx.doi.org/10.1098/rsif.2012.0846.
Texte intégralPellissier, Lucie P., Gaël Barthet, Florence Gaven, Elisabeth Cassier, Eric Trinquet, Jean-Philippe Pin, Philippe Marin et al. « G Protein Activation by Serotonin Type 4 Receptor Dimers ». Journal of Biological Chemistry 286, no 12 (19 janvier 2011) : 9985–97. http://dx.doi.org/10.1074/jbc.m110.201939.
Texte intégralChattopadhyay, Amitabha. « GPCRs : Lipid-Dependent Membrane Receptors That Act as Drug Targets ». Advances in Biology 2014 (2 octobre 2014) : 1–12. http://dx.doi.org/10.1155/2014/143023.
Texte intégralEllisdon, Andrew M., et Michelle L. Halls. « Compartmentalization of GPCR signalling controls unique cellular responses ». Biochemical Society Transactions 44, no 2 (11 avril 2016) : 562–67. http://dx.doi.org/10.1042/bst20150236.
Texte intégralGuo, Yan-Zhi, Meng-Long Li, Ke-Long Wang, Zhi-Ning Wen, Min-Chun Lu, Li-Xia Liu et Lin Jiang. « Fast Fourier Transform-based Support Vector Machine for Prediction of G-protein Coupled Receptor Subfamilies ». Acta Biochimica et Biophysica Sinica 37, no 11 (1 novembre 2005) : 759–66. http://dx.doi.org/10.1111/j.1745-7270.2005.00110.x.
Texte intégralFu, Zhe, Linjie Zhang, Sijin Hang, Shiyi Wang, Na Li, Xiaojing Sun, Zian Wang et al. « Synthesis of Coumarin Derivatives : A New Class of Coumarin-Based G Protein-Coupled Receptor Activators and Inhibitors ». Polymers 14, no 10 (15 mai 2022) : 2021. http://dx.doi.org/10.3390/polym14102021.
Texte intégralWright, Shane C., Maria Consuelo Alonso Cañizal, Tobias Benkel, Katharina Simon, Christian Le Gouill, Pierre Matricon, Yoon Namkung et al. « FZD5 is a Gαq-coupled receptor that exhibits the functional hallmarks of prototypical GPCRs ». Science Signaling 11, no 559 (4 décembre 2018) : eaar5536. http://dx.doi.org/10.1126/scisignal.aar5536.
Texte intégralThèses sur le sujet "Class A GPCR"
Zhang, Boyang. « Functional and Structural Insights into the First and Second Intracellular Domains for D1-Class Dopaminergic Receptors ». Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/35932.
Texte intégralEllaithy, Amr. « Metabotropic Glutamate Receptor 2 Activation : Computational Predictions and Experimental Validation ». VCU Scholars Compass, 2018. https://scholarscompass.vcu.edu/etd/5319.
Texte intégralSong, Bo [Verfasser], Hauke [Akademischer Betreuer] Lilie, Harald [Akademischer Betreuer] Kolmar et Marcus [Akademischer Betreuer] Fändrich. « Affilin binding proteins selected against a class B GPCR ectodomain / Bo Song. Betreuer : Hauke Lilie ; Harald Kolmar ; Marcus Fändrich ». Halle, Saale : Universitäts- und Landesbibliothek Sachsen-Anhalt, 2012. http://d-nb.info/1025302435/34.
Texte intégralHajj, Mariana. « Le récepteur orphelin GPR158 : fonction et partenaires protéiques ». Thesis, Montpellier 1, 2012. http://www.theses.fr/2012MON1T009.
Texte intégralG protein-coupled receptors (GPCR) are known to form the largest family of cell communication proteins, and to participate to all functions of the body, making them high potential therapeutic targets. However, lots of these proteins are still orphan receptors, for which no ligand, neither function have been described, although some could be of very high interest, like GPR158, a class C orphan GPCR. The seven transmembrane domain (7TM) of this orphan receptor was related to class C GPCR (GPR158 and GABAB share 20% sequence identity in the TM core region) but its N-terminal domain was not homologous to the typical Venus Flytrap (VFT) known to bind the ligands in most of class C receptors. Which suggests that GPR158 has developed different ligand binding mode. GPR158 is expressed mainly in the brain. Interestingly, the expression of this receptor has been found in many cells and tissues to be potentially regulated in pathological conditions, of which 50% are cancerous diseases. We thus intended to decipher its cellular function and partners, to understand its potential physiological and physiopathological roles. Initially, our goal was to determine the functionality of GPR158, and the possible signaling and cellular mechanisms it was involved in, by looking for some constitutive activity for this orphan GPCR, in the absensce of any ligand. Curiously, we could not detect any G protein coupling, like constitutive G protein stimulation by overexpression of wild type, mutated, truncated and chimeric receptors. This despite the residues of intracellular loops and TM domain, important for the G protein coupling and for the activation of other GPCR, which are conserved in GPR158. This suggests that GPR158 in itself might not have a signalization, and thus it would regulate the activity of other GPCR. Alternatively, GPR158 would have an original way of signaling to be discovered with more sophisticated techniques.Then, we tried to understand the role of three VCPWE specific motifs that we have identified at the long C-terminal (C-ter) domain of GPR158. These motifs are well conserved among different species and thus would play important functional roles. Therefore, we have shown that the third motif indeed binds G protein alpha o subunit, likely in active state. Interestingly, we have also shown that RGS7 that deactivated alpha o, interacts constitutively with the C-terminal domain of GPR158 upstream of VCPWE motifs. Thus, RGS7 would regulate the alpha subunit association with GPR158. Hence, GPR158 would act as a signaling regulatory platform, controlling G protein pathways by binding active alpha subunit and RGS7. This would be of great importance as a local signaling regulatory mechanism. Finally, to better understand the function and possible signaling pathways of GPR158, a proteomic analysis of multi-protein complexes built around the C-ter domain of GPR158, was conducted. After purification of the orphan receptor and its associated proteins by immunoprecipitation, the identification by mass spectrometry of GPR158 interacting proteins led to the identification of six potential new partners. Among them, four proteins, p53, PPM1G, SGT1 and SIRT1, are regulators of the p53 tumor suppressor protein widely known for its role as a transcription factor that regulates the expression of stress response genes, and two proteins, SIRT1 and TRIM58 are involved in cellular aging process. Therefore, GPR158 could be involved in transcription, cell cycle regulation, DNA repair, proliferation, apoptosis, tumorigenesis and cell aging
Mohamedgamil, Sana Siddig Abdelrahman [Verfasser], et Davide [Gutachter] Calebiro. « Organization and dynamics of class C GPCR nanodomains in neurons visualized by single-molecule microscopy / Sana Siddig Abdelrahman Mohamedgamil ; Gutachter : Davide Calebiro ». Würzburg : Universität Würzburg, 2020. http://d-nb.info/1207760897/34.
Texte intégralCharrette, Andrew. « The Role of the Central Region of the Third Intracellular Loop of D1-Class Receptors in Signalling ». Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/23080.
Texte intégralChéron, Jean-Baptiste. « Modélisation moléculaire de la perception de la saveur sucrée : approches structurales et dynamiques ». Thesis, Université Côte d'Azur (ComUE), 2017. http://www.theses.fr/2017AZUR4066/document.
Texte intégralSugar overconsumption is a risk factor for pathologies such as type II diabetes or obesity. Sweeteners consumption is used to overcome this public health issue. Indeed, they have low caloric value but still preserve the pleasure of sweet taste. Currently, number of sweeteners are commercially available, but they present a bitter aftertaste or there is a debate about their safety. One aim of this work was to propose new intense sweeteners using computational modeling strategies. Through a statistical approach to predict the sweetness based on the chemical structure of already known sweeteners, new natural compounds have been identified. Furthermore, the structural study of the homology model of the sweet taste receptor provides some clues to design new sweeteners. The molecular dynamic study of a class C G-protein coupled receptor gives the first molecular hypothesis of the activation process
Albaker, Awatif. « Mutational Analysis to Define the Functional Role of the Third Intracellular Loop of D1-Class Dopaminergic Receptors ». Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/35063.
Texte intégralSeier, Kerstin [Verfasser], et Davide [Gutachter] Calebiro. « Investigation of dynamic processes of prototypical class A GPCRs by single-molecule microscopy / Kerstin Seier ; Gutachter : Davide Calebiro ». Würzburg : Universität Würzburg, 2020. http://d-nb.info/1205259058/34.
Texte intégralShofstall, Lisa. « Class III / short line system inventory to determine 286,000 lb (129,844 kg) railcar operational status in Kansas and determination of ballast fouling using ground penetrating radar ». Thesis, Kansas State University, 2017. http://hdl.handle.net/2097/35477.
Texte intégralDepartment of Civil Engineering
Eric J. Fitzsimmons
The rail industry's recent shift towards larger and heavier railcars has influenced Class III / short line railroad operation and track maintenance costs. Class III railroads earn less than $38.1 million in in annual revenue and generally operate first and last leg shipping for their customers. In Kansas, Class III railroads operate approximately 40 percent of the roughly 2,800 miles (4,500 km) of rail; however, due to the current Class III track condition they move lighter railcars at lower speeds than Class I railroads. The State of Kansas statutorily allots $5 million to support rail improvement projects, primarily for Class III railroads. Therefore, the objective of this study was to conduct an inventory of Kansas’s Class III rail network to identify the track segments in need of this support that would be most beneficial to the rail system. Representatives of each railroad were contacted and received a survey requesting information regarding the operational and structural status of their systems. The data collected were organized and processed to determine the sections of track that can accommodate the heavier axle load cars that are currently being utilized by Class I railroads. This study identified that Class III railroads shipped over 155,000 carloads of freight in 2016 and 30 percent of Kansas’s Class III track can currently accommodate heavy axle cars. The increased load from the increased railcar size has also increased the risk of damage to railroad’s track structure. Railroad ballast is the free draining granular material that supports the track structure. As the track ages, small particles can fill the voids of the granular material which is a process known as fouling. Established methods for determining the fouling of a section of ballast are destructive tests that usually require the railroad to restrict or reroute traffic on its network. Ground Penetrating Radar (GPR) is a nondestructive geophysical surveying method that measures the time required for electromagnetic wave impulses to reflect off differing subsurface interfaces. Historically, GPR surveys of track structures primarily determine the depth of ballast and track geometry. The objective of this study was to determine the viability of utilizing the laboratory’s existing GPR equipment to develop a methodology of measuring ballast fouling nondestructively. A 48 x 48 x 48 in (1.2 x 1.2 x 1.2 m) test box was built. The test box was filled with 48 in (1.2 m) of clean and ballast. Tests were run on dry and partially saturated material, wetted using 6 gallons (22.7 L). GPR data were collected hourly for the first 6 hours, then at the multiples of 12 and 24 hour marks for one week. Sand was chosen as an absorbent geologic material for the second stage of testing since no fouled ballast could be acquired at the time of the study. A 27 x18 x 18 in (0.69 x 0.46 x 0.046 m) box was filled with sand and wetted with water in one gallon (7.5 L) increments. GPR scans and samples to determine the water content were collected after the addition of each gallon. The data collected were processed to determine soil properties. Preliminary results from this research indicate that the GPR set up utilized can effectively determine the dielectric constant of geologic materials including ballast, although the dielectric constant is highly dependent on the volumetric moisture content of the material.
Chapitres de livres sur le sujet "Class A GPCR"
Grinde, Ellinor, et Katharine Herrick-Davis. « Class A GPCR : Serotonin Receptors ». Dans G-Protein-Coupled Receptor Dimers, 129–72. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60174-8_6.
Texte intégralGingell, Joseph J., Christopher S. Walker et Debbie L. Hay. « Class B GPCR : Receptors and RAMPs ». Dans G-Protein-Coupled Receptor Dimers, 289–305. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60174-8_11.
Texte intégralFan, Qing R., William Y. Guo, Yong Geng et Marisa G. Evelyn. « Class C GPCR : Obligatory Heterodimerization of GABAB Receptor ». Dans G-Protein-Coupled Receptor Dimers, 307–25. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60174-8_12.
Texte intégralKönig, Caroline, René Alquézar, Alfredo Vellido et Jesús Giraldo. « Topological Sequence Segments Discriminate Between Class C GPCR Subtypes ». Dans Advances in Intelligent Systems and Computing, 164–72. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60816-7_20.
Texte intégralHarikumar, Kaleeckal G., et Laurence J. Miller. « Secretin Receptor Dimerization. Prototypic of Class B GPCR Behavior ». Dans G-Protein-Coupled Receptor Dimers, 273–87. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60174-8_10.
Texte intégralHanyaloglu, Aylin C., F. Fanelli et K. C. Jonas. « Class A GPCR : Di/Oligomerization of Glycoprotein Hormone Receptors ». Dans G-Protein-Coupled Receptor Dimers, 207–31. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60174-8_8.
Texte intégralCárdenas, Martha I., Alfredo Vellido et Jesús Giraldo. « Visual Exploratory Assessment of Class C GPCR Extracellular Domains Discrimination Capabilities ». Dans Advances in Intelligent Systems and Computing, 31–39. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40126-3_4.
Texte intégralKönig, Caroline, René Alquézar, Alfredo Vellido et Jesús Giraldo. « Finding Class C GPCR Subtype-Discriminating N-grams through Feature Selection ». Dans Advances in Intelligent Systems and Computing, 89–96. Cham : Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07581-5_11.
Texte intégralJastrzebska, Beata. « Class A GPCR : Light Sensing G Protein-Coupled Receptor – Focus on Rhodopsin Dimer ». Dans G-Protein-Coupled Receptor Dimers, 79–97. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60174-8_4.
Texte intégralHlaváčková, Veronika, Laurent Prézeau, Jean-Philippe Pin et Jaroslav Blahos. « Class C GPCRs : Metabotropic Glutamate Receptors ». Dans G-Protein-Coupled Receptor Dimers, 327–56. Cham : Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60174-8_13.
Texte intégralActes de conférences sur le sujet "Class A GPCR"
Brooks, Charles L. « De novo modeling of GPCR class A structures ». Dans Distributed Processing (IPDPS). IEEE, 2009. http://dx.doi.org/10.1109/ipdps.2009.5160868.
Texte intégralAhmed, M. A., S. A. Wicher, C. M. Bartman, B. S. Patel, C. M. Pabelick et Y. S. Prakash. « Class C GPCR Effects on Airway Smooth Muscle Mitochondria ». Dans American Thoracic Society 2020 International Conference, May 15-20, 2020 - Philadelphia, PA. American Thoracic Society, 2020. http://dx.doi.org/10.1164/ajrccm-conference.2020.201.1_meetingabstracts.a5600.
Texte intégralRoos, B., J. J. Teske, S. Varadharajan, S. A. Wicher, R. D. Britt, C. M. Pabelick, S. Venkatachalem et Y. S. Prakash. « Class C Orphan GPCR GPRC5A in Human Airway Smooth Muscle ». Dans American Thoracic Society 2021 International Conference, May 14-19, 2021 - San Diego, CA. American Thoracic Society, 2021. http://dx.doi.org/10.1164/ajrccm-conference.2021.203.1_meetingabstracts.a4504.
Texte intégralCardenas, Martha-Ivon, Alfredo Vellido et Jesus Giraldo. « Visual interpretation of class C GPCR subtype overlapping from the nonlinear mapping of transformed primary sequences ». Dans 2014 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). IEEE, 2014. http://dx.doi.org/10.1109/bhi.2014.6864476.
Texte intégralScherr, Maximilian, et Shigeru Chiba. « Almost first-class language embedding : taming staged embedded DSLs ». Dans GPCE'15 : Generative Programming : Concepts and Experiences. New York, NY, USA : ACM, 2015. http://dx.doi.org/10.1145/2814204.2814217.
Texte intégralZarembski, Allan M., Joseph W. Palese et Mike Nguyen. « Forecasting Track Geometry Degradation Using GPR Based Ballast Condition ». Dans 2022 Joint Rail Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/jrc2022-79586.
Texte intégralPatel, B. S., J. J. Teske, B. Roos, C. M. Pabelick et Y. S. Prakash. « Role of Class C GPCRs in Airway Smooth Muscle Cells ». Dans American Thoracic Society 2020 International Conference, May 15-20, 2020 - Philadelphia, PA. American Thoracic Society, 2020. http://dx.doi.org/10.1164/ajrccm-conference.2020.201.1_meetingabstracts.a1257.
Texte intégralHe, Ziming, et Wenxing Zhou. « Machine Learning Tools to Predict the Burst Capacity of Pipelines Containing Dent-Gouges ». Dans 2022 14th International Pipeline Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/ipc2022-87176.
Texte intégralHou, Feifei, Wentai Lei, Shuai Li et Jingchun Xi. « Underground multi-class objects identification using hybrid task cascade from GPR bridge data ». Dans 18th International Conference on Ground Penetrating Radar, Golden, Colorado, 14–19 June 2020. Society of Exploration Geophysicists, 2020. http://dx.doi.org/10.1190/gpr2020-039.1.
Texte intégralWang, Yiqing, et Peiwei Sun. « Fault Diagnosis Based on KPCA and RUSboost for Nuclear Power Plants ». Dans 2022 29th International Conference on Nuclear Engineering. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/icone29-92163.
Texte intégralRapports d'organisations sur le sujet "Class A GPCR"
Rafaeli, Ada, et Russell Jurenka. Molecular Characterization of PBAN G-protein Coupled Receptors in Moth Pest Species : Design of Antagonists. United States Department of Agriculture, décembre 2012. http://dx.doi.org/10.32747/2012.7593390.bard.
Texte intégralRafaeli, Ada, Russell Jurenka et Chris Sander. Molecular characterisation of PBAN-receptors : a basis for the development and screening of antagonists against Pheromone biosynthesis in moth pest species. United States Department of Agriculture, janvier 2008. http://dx.doi.org/10.32747/2008.7695862.bard.
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