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Manon Réau

Showing results (1-10 of 11) with videos related to

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Frontiers in Endocrinology|September 30, 2022
Review of <i>in silico</i> studies dedicated to the nuclear receptor family: Therapeutic prospects and toxicological concernsAsma Sellami, Manon Réau, Matthieu Montes, et al.
Journal of Computer-Aided Molecular Design|September 16, 2017
Predicting the affinity of Farnesoid X Receptor ligands through a hierarchical ranking protocol: a D3R Grand Challenge 2 case studyManon Réau, Florent Langenfeld, Jean-François Zagury, et al.
Cells|November 27, 2019
Hits Discovery on the Androgen Receptor: In Silico Approaches to Identify Agonist CompoundsManon Réau, Nathalie Lagarde, Jean-François Zagury, et al.
Journal of Medicinal Chemistry|October 26, 2018
Nuclear Receptors Database Including Negative Data (NR-DBIND): A Database Dedicated to Nuclear Receptors Binding Data Including Negative Data and Pharmacological ProfileManon Réau, Nathalie Lagarde, Jean-François Zagury, et al.
Journal of Chemical Information and Modeling|August 26, 2021
Shape-Restrained Modeling of Protein-Small-Molecule Complexes with High Ambiguity Driven DOCKingPanagiotis I Koukos, Manon Réau, Alexandre M J J Bonvin
Frontiers in Pharmacology|February 9, 2018
Decoys Selection in Benchmarking Datasets: Overview and PerspectivesManon Réau, Florent Langenfeld, Jean-François Zagury, et al.
Bioinformatics (Oxford, England)|November 24, 2022
DeepRank-GNN: a graph neural network framework to learn patterns in protein-protein interfacesManon Réau, Nicolas Renaud, Li C Xue, et al.
Molecules (Basel, Switzerland)|July 13, 2019
High Impact: The Role of Promiscuous Binding Sites in PolypharmacologyNatacha Cerisier, Michel Petitjean, Leslie Regad, et al.
Molecular Informatics|July 4, 2017
Discriminating Agonist from Antagonist Ligands of the Nuclear Receptors Using Different Chemoinformatics ApproachesNathalie Lagarde, Solenne Delahaye, Aurore Jérémie, et al.
Proteins|December 31, 2024
Integrative Modeling in the Age of Machine Learning: A Summary of HADDOCK Strategies in CAPRI Rounds 47-55Victor Reys, Marco Giulini, Vlad Cojocaru, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Frontiers in Endocrinology|September 30, 2022
Review of <i>in silico</i> studies dedicated to the nuclear receptor family: Therapeutic prospects and toxicological concernsAsma Sellami, Manon Réau, Matthieu Montes, et al.
Journal of Computer-Aided Molecular Design|September 16, 2017
Predicting the affinity of Farnesoid X Receptor ligands through a hierarchical ranking protocol: a D3R Grand Challenge 2 case studyManon Réau, Florent Langenfeld, Jean-François Zagury, et al.
Cells|November 27, 2019
Hits Discovery on the Androgen Receptor: In Silico Approaches to Identify Agonist CompoundsManon Réau, Nathalie Lagarde, Jean-François Zagury, et al.
Journal of Medicinal Chemistry|October 26, 2018
Nuclear Receptors Database Including Negative Data (NR-DBIND): A Database Dedicated to Nuclear Receptors Binding Data Including Negative Data and Pharmacological ProfileManon Réau, Nathalie Lagarde, Jean-François Zagury, et al.
Journal of Chemical Information and Modeling|August 26, 2021
Shape-Restrained Modeling of Protein-Small-Molecule Complexes with High Ambiguity Driven DOCKingPanagiotis I Koukos, Manon Réau, Alexandre M J J Bonvin
Frontiers in Pharmacology|February 9, 2018
Decoys Selection in Benchmarking Datasets: Overview and PerspectivesManon Réau, Florent Langenfeld, Jean-François Zagury, et al.
Bioinformatics (Oxford, England)|November 24, 2022
DeepRank-GNN: a graph neural network framework to learn patterns in protein-protein interfacesManon Réau, Nicolas Renaud, Li C Xue, et al.
Molecules (Basel, Switzerland)|July 13, 2019
High Impact: The Role of Promiscuous Binding Sites in PolypharmacologyNatacha Cerisier, Michel Petitjean, Leslie Regad, et al.
Molecular Informatics|July 4, 2017
Discriminating Agonist from Antagonist Ligands of the Nuclear Receptors Using Different Chemoinformatics ApproachesNathalie Lagarde, Solenne Delahaye, Aurore Jérémie, et al.
Proteins|December 31, 2024
Integrative Modeling in the Age of Machine Learning: A Summary of HADDOCK Strategies in CAPRI Rounds 47-55Victor Reys, Marco Giulini, Vlad Cojocaru, et al.
Pageof 2