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X-WR-CALDESC:Eventos para Centro Mediterráneo
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DTSTART;VALUE=DATE:20201209
DTEND;VALUE=DATE:20201211
DTSTAMP:20260527T061150
CREATED:20201201T123903Z
LAST-MODIFIED:20220303T132304Z
UID:23486-1607472000-1607644799@cemed.ugr.es
SUMMARY:VIRTUOUS Transfer of Knowledge (ToK) Workshop: Omics\, Machine Learning and Molecular Modelling Targeting Taste and Nutrition
DESCRIPTION:Modalidad del curso:\nModalidad virtual \nDirección:\nVanessa M. Martos Núñez\nProfesora Titular del Dpto. de Fisiología Vegetal\nUniversidad de Granada \nSubvencionado por:\nProyecto Europeo H2020-VIRTUOUS ref:872181 \nIdioma:\nInglés. \nSe puede asistir un día o ambos\, y es necesario registrarse en los siguientes enlaces: \nDay one  \nDay two \nIntroducción: \nNutrients modulate the key mechanisms driving cellular\, tissue\, organ and system level machineries in the human body. In this concern\, predictive models of ligand protein interactions\, protein cascades\, cell activation\, personalized food metabolism/taste deserve high attention being them a crucial breakthrough to provide insight in complex biological mechanisms regulating long term favorable effects to human homeostasis. Unified interdisciplinary approaches based on multidisciplinary competences will help to develop computational models in a multiscale/multiphysics fashion\, moving from chemistry to structure\, from structure to function. This groundbreaking vision has the capability of revolutionizing the way we understand\, model and treat physiological and pathological phenomena concerning the human being toward a deeper understanding of fundamental mechanisms of life\, to develop new strategies against diseases and assist us in visualizing the effects of novel treatment options\, such as a diet\, a nutrition supplement\, a drug or a combination of them. In this context\, the present Workshop explores the state of the art of omics\, ontologies\, bioinformatics\, machine learning driven mechanistic modelling to elucidate nutrient pathways from molecular interactions to organ/system level properties and to predict long term effects of food nutrients on human homeostasis\, considering also the environmental conditions.
URL:https://cemed.ugr.es/curso/20cl10/
CATEGORIES:Curso
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