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Articles, 1 records found
Research literature, 1 records found
Articles 1 records found  
1.
11 p, 1.8 MB A Complementary Scale of Biased Agonism for Agonists with Differing Maximal Responses / Burgueño, Javier (Department of Pharmacology, Drug Discovery & Preclinical Development, ESTEVE) ; Pujol Argemí, Marta (Department of Pharmacology, Drug Discovery & Preclinical Development, ESTEVE) ; Monroy, Xavier (Department of Pharmacology, Drug Discovery & Preclinical Development, ESTEVE) ; Roche, David (Universitat Internacional de Catalunya. Facultat de Ciències Econòmiques i Socials) ; Varela, Maria Jose (Universidade de Santiago de Compostela) ; Merlos, Manuel (Department of Pharmacology, Drug Discovery & Preclinical Development, ESTEVE) ; Giraldo, Jesús (Universitat Autònoma de Barcelona. Institut de Neurociències) ; Universitat Autònoma de Barcelona. Departament de Pediatria, Obstetrícia i Ginecologia i de Medicina Preventiva i Salut Pública
Compelling data in the literature from the recent years leave no doubt about the pluridimensional nature of G protein-coupled receptor function and the fact that some ligands can couple with different efficacies to the multiple pathways that a receptor can signal through, a phenomenon most commonly known as functional selectivity or biased agonism. [...]
2017 - 10.1038/s41598-017-15258-z
Scientific reports, Vol. 7 (november 2017)  
Detailed record - Creative Commons

Research literature 1 records found  
1.
101 p, 1.3 MB Statistical framework for terminating evolutionary algorithms at their steady state / Roche Valles, David ; Giraldo, Jesús, dir. ; Gil, Debora, dir. (Universitat Autònoma de Barcelona. Departament de Ciències de la Computació) ; Universitat Autònoma de Barcelona. Departament de Ciències de la Computació
El objetivo de esta tesis es de determinar la calidad de las condiciones de parada existentes para terminar un Algoritmo Evolutivo cuando llegue a su un estado estacionario. Un Algoritmo Evolutivo es una técnica iterativa basada en poblaciones de individuos e inspirada en las reglas de la evolución natural para encontrar (o explorar) el conjunto de puntos, en un espacio de búsqueda, que mejor se ajustan a una situación dada de acuerdo con una función de coste. [...]
The goal of this Thesis is assessing the quality of existing stopping conditions for terminating Evolutionary Algorithms at its steady state. An Evolutionary Algorithm (EA) is an iterative population based technique based on natural evolution rules principles to find (or explore) in a given search space the set of point that best fits a given real situation according to a cost function. [...]
[Barcelona] : Universitat Autònoma de Barcelona, 2015  
Detailed record - Creative Commons

See also: similar author names
2 Roche, Daniel B.
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