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International Journal of Molecular Sciences
|
April 3, 2021
Predicting Potential Endocrine Disrupting Chemicals Binding to Estrogen Receptor α (ERα) Using a Pipeline Combining Structure-Based and Ligand-Based in Silico Methods
Asma Sellami, Matthieu Montes, Nathalie Lagarde
Chemical Research in Toxicology
|
April 3, 2025
Combining Molecular Docking and Pharmacophore Models Predicts Ligand Binding of Endocrine-Disrupting Chemicals to Nuclear Receptors
Asma Sellami, Matthieu Montes, Nathalie Lagarde
Proteins
|
April 18, 2018
Hidden partners: Using cross-docking calculations to predict binding sites for proteins with multiple interactions
Nathalie Lagarde, Alessandra Carbone, Sophie Sacquin-Mora
Journal of Chemical Information and Modeling
|
September 25, 2014
Importance of the pharmacological profile of the bound ligand in enrichment on nuclear receptors: toward the use of experimentally validated decoy ligands
Nathalie Lagarde, Jean-François Zagury, Matthieu Montes
Journal of Chemical Information and Modeling
|
June 4, 2015
Benchmarking Data Sets for the Evaluation of Virtual Ligand Screening Methods: Review and Perspectives
Nathalie Lagarde, Jean-François Zagury, Matthieu Montes
Computational and Structural Biotechnology Journal
|
January 8, 2024
PLO3S: Protein LOcal Surficial Similarity Screening
Léa Sirugue, Florent Langenfeld, Nathalie Lagarde, et al.
Frontiers in Endocrinology
|
September 30, 2022
Review of <i>in silico</i> studies dedicated to the nuclear receptor family: Therapeutic prospects and toxicological concerns
Asma Sellami, Manon Réau, Matthieu Montes, et al.
Journal of Cheminformatics
|
September 8, 2016
Discriminating agonist and antagonist ligands of the nuclear receptors using 3D-pharmacophores
Nathalie Lagarde, Solenne Delahaye, Jean-François Zagury, et al.
Cells
|
November 27, 2019
Hits Discovery on the Androgen Receptor: In Silico Approaches to Identify Agonist Compounds
Manon 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 Profile
Manon Réau, Nathalie Lagarde, Jean-François Zagury, et al.
Page
of 4
Search research articles
Search
Showing results (1-10 of 35) with videos related to
Sort By:
Page
of 4
International Journal of Molecular Sciences
|
April 3, 2021
Predicting Potential Endocrine Disrupting Chemicals Binding to Estrogen Receptor α (ERα) Using a Pipeline Combining Structure-Based and Ligand-Based in Silico Methods
Asma Sellami, Matthieu Montes, Nathalie Lagarde
Chemical Research in Toxicology
|
April 3, 2025
Combining Molecular Docking and Pharmacophore Models Predicts Ligand Binding of Endocrine-Disrupting Chemicals to Nuclear Receptors
Asma Sellami, Matthieu Montes, Nathalie Lagarde
Proteins
|
April 18, 2018
Hidden partners: Using cross-docking calculations to predict binding sites for proteins with multiple interactions
Nathalie Lagarde, Alessandra Carbone, Sophie Sacquin-Mora
Journal of Chemical Information and Modeling
|
September 25, 2014
Importance of the pharmacological profile of the bound ligand in enrichment on nuclear receptors: toward the use of experimentally validated decoy ligands
Nathalie Lagarde, Jean-François Zagury, Matthieu Montes
Journal of Chemical Information and Modeling
|
June 4, 2015
Benchmarking Data Sets for the Evaluation of Virtual Ligand Screening Methods: Review and Perspectives
Nathalie Lagarde, Jean-François Zagury, Matthieu Montes
Computational and Structural Biotechnology Journal
|
January 8, 2024
PLO3S: Protein LOcal Surficial Similarity Screening
Léa Sirugue, Florent Langenfeld, Nathalie Lagarde, et al.
Frontiers in Endocrinology
|
September 30, 2022
Review of <i>in silico</i> studies dedicated to the nuclear receptor family: Therapeutic prospects and toxicological concerns
Asma Sellami, Manon Réau, Matthieu Montes, et al.
Journal of Cheminformatics
|
September 8, 2016
Discriminating agonist and antagonist ligands of the nuclear receptors using 3D-pharmacophores
Nathalie Lagarde, Solenne Delahaye, Jean-François Zagury, et al.
Cells
|
November 27, 2019
Hits Discovery on the Androgen Receptor: In Silico Approaches to Identify Agonist Compounds
Manon 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 Profile
Manon Réau, Nathalie Lagarde, Jean-François Zagury, et al.
Page
of 4