Cargando…
Discriminating agonist and antagonist ligands of the nuclear receptors using 3D-pharmacophores
Nuclear receptors (NRs) constitute an important class of therapeutic targets. We evaluated the performance of 3D structure-based and ligand-based pharmacophore models in predicting the pharmacological profile of NRs ligands using the NRLiSt BDB database. We could generate selective pharmacophores fo...
Autores principales: | Lagarde, Nathalie, Delahaye, Solenne, Zagury, Jean-François, Montes, Matthieu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5011875/ https://www.ncbi.nlm.nih.gov/pubmed/27602059 http://dx.doi.org/10.1186/s13321-016-0154-2 |
Ejemplares similares
-
Hits Discovery on the Androgen Receptor: In Silico Approaches to Identify Agonist Compounds
por: Réau, Manon, et al.
Publicado: (2019) -
Molecular sampling of the allosteric binding pocket of the TSH receptor provides discriminative pharmacophores for antagonist and agonists
por: Hoyer, Inna, et al.
Publicado: (2013) -
Decoys Selection in Benchmarking Datasets: Overview and Perspectives
por: Réau, Manon, et al.
Publicado: (2018) -
MDAN-21: A Bivalent Opioid Ligand Containing mu-Agonist and Delta-Antagonist Pharmacophores and Its Effects in Rhesus Monkeys
por: Aceto, Mario D., et al.
Publicado: (2012) -
Ligand-Based Pharmacophore Modeling Using Novel 3D Pharmacophore Signatures
por: Kutlushina, Alina, et al.
Publicado: (2018)