Modelización matemática de los receptores acoplados a proteínas G: Los receptores metabotrópicos de glutamato

  • Giraldo Arjonilla, Jesus (Principal Investigator)
  • Roche Vallés, David (Scholar)
  • Rovira Algans, Xavier (Scholar)
  • Serra Marí, Juan (Investigator)

Project Details


Mathematical modeling is of prime importance in signal transduction studies, both for drug and receptor classification and for assessing the change in agonist function after a system modification. Two models can be used: empirical and mechanistic models. Empirical models are used to find the mathematical equation that best fits experimental data. These equations can be very useful to quantitatively analyze physiological function although their equation parameters lack physical meaning. Mechanistic models result from applying the physicochemical laws that govern the proposed reaction paths, being their parameters well defined in biological terms. Mechanistic models are, in turn, divided in equilibrium and dynamic or kinetic models. In the present project, we aim at developing a comprehensive series of mathematical models for a quantitative description of the signal transduction mechanisms associated to G protein-coupled receptors (GPCRs). The mechanisms include the following properties: partial agonism, constitutive activity, inverse agonism, receptor dimerization, cooperativity, alosteric interactions, receptor desensitization, receptor mutation, G protein activation and GTPase-activating proteins. Each of the proposed models will not be considered as an isolated element but as an integrated component within a general theoretical framework in the systems biology field. With the purpose of concentrate our efforts, we will orient our research preferably to the study of metabotropic glutamate receptors, which because of their complexity can be considered a paradigm for the theoretical research on GPCRs. The ultimate reason of the proposed work is our belief that a deep and systematic investigation on this field can help to foster the development of more effective drugs to improve human health
Effective start/end date1/10/0724/10/10


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