D. Roche

发表

Modeling the Binding and Function of Metabotropic Glutamate Receptors

J. Giraldo, J. Pin, J. Kniazeff, 2008, Journal of Pharmacology and Experimental Therapeutics.

Assessing receptor affinity for inverse agonists: Schild and Cheng-Prusoff methods revisited.

J. Giraldo, X. Rovira, D. Roche, 2007, Current drug targets.

Modelling the interdependence between the stoichiometry of receptor oligomerization and ligand binding for a coexisting dimer/tetramer receptor system

J. Giraldo, X. Rovira, M. Vivó, 2009, British journal of pharmacology.

Multiple active receptor conformation, agonist efficacy and maximum effect of the system: the conformation-based operational model of agonism.

J. Giraldo, D. Gil, D. Roche, 2013, Drug discovery today.

Mechanistic analysis of the function of agonists and allosteric modulators: reconciling two‐state and operational models

J. Giraldo, D. Gil, D. Roche, 2013, British journal of pharmacology.

Mathematical modeling of G protein-coupled receptor function: what can we learn from empirical and mechanistic models?

J. Giraldo, D. Gil, D. Roche, 2014, Advances in experimental medicine and biology.

Analysis of the Function of Receptor Oligomers by Operational Models of Agonism

J. Giraldo, Bin Zhou, D. Roche, 2021 .

Terminating evolutionary algorithms at their steady state

A. Borràs, D. Roche, Debora Gil, 2015, Computational Optimization and Applications.

Ecophysiological significance of scale-dependent patterns in prokaryotic genomes unveiled by a combination of statistic and genometric analyses.

H. Stanley, E. Casamayor, F. Bartumeus, 2008, Genomics.

The catalytic power of enzymes: Conformational selection or transition state stabilization?

J. Giraldo, X. Rovira, D. Roche, 2006, FEBS letters.

A Complementary Scale of Biased Agonism for Agonists with Differing Maximal Responses

J. Giraldo, D. Roche, M. Pujol, 2017, Scientific Reports.

Inferring the Performance of Medical Imaging Algorithms

Debora Gil, Aura Hernández-Sabaté, Monica M. S. Matsumoto, 2011, CAIP.

A Complementary Scale of Biased Agonism for Agonists with Differing Maximal Responses

J. Giraldo, D. Roche, M. Pujol, 2017, Scientific Reports.

Have many estimates of efficacy and affinity been misled? Revisiting the operational model of agonism.

J. Giraldo, P. H. van der Graaf, D. Roche, 2016, Drug discovery today.

Detecting Loss of Diversity for an Efficient Termination of EAs

Debora Gil, Jesús Giraldo, David Roche, 2013, 2013 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing.

Terminating evolutionary algorithms at their steady state

J. Giraldo, D. Gil, A. Borràs, 2015, Computational Optimization and Applications.

Computational Optimization and Applications an International Journal Terminating Evolutionary Algorithms at Their Steady State Terminating Evolutionary Algorithms at Their Steady State Author's Personal Copy

Debora Gil, Agnès Borràs, Jesús Giraldo, 2022 .

Using statistical inference for designing termination conditions ensuring convergence of Evolutionary Algorithms

Debora Gil, Jesús Giraldo, David Roche, 2011, ECAL.

An inference model for analyzing termination conditions of Evolutionary Algorithms

Debora Gil, Jesús Giraldo, David Roche, 2011, CCIA.

Modelling the interdependence between the stoichiometry of receptor oligomerization and ligand binding for a coexisting dimer/tetramer receptor system

M. Vivó, D. Roche, J. Giraldo, 2009, British Journal of Pharmacology.