Cargando…
Elucidation of Agonist and Antagonist Dynamic Binding Patterns in ER-α by Integration of Molecular Docking, Molecular Dynamics Simulations and Quantum Mechanical Calculations
Estrogen receptor alpha (ERα) is a ligand-dependent transcriptional factor in the nuclear receptor superfamily. Many structures of ERα bound with agonists and antagonists have been determined. However, the dynamic binding patterns of agonists and antagonists in the binding site of ERα remains unclea...
Autores principales: | Sakkiah, Sugunadevi, Selvaraj, Chandrabose, Guo, Wenjing, Liu, Jie, Ge, Weigong, Patterson, Tucker A., Hong, Huixiao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8431471/ https://www.ncbi.nlm.nih.gov/pubmed/34502280 http://dx.doi.org/10.3390/ijms22179371 |
Ejemplares similares
-
Structural Changes Due to Antagonist Binding in Ligand Binding Pocket of Androgen Receptor Elucidated Through Molecular Dynamics Simulations
por: Sakkiah, Sugunadevi, et al.
Publicado: (2018) -
Consensus Modeling for Prediction of Estrogenic Activity of Ingredients Commonly Used in Sunscreen Products
por: Hong, Huixiao, et al.
Publicado: (2016) -
Elucidating Interactions Between SARS-CoV-2 Trimeric Spike Protein and ACE2 Using Homology Modeling and Molecular Dynamics Simulations
por: Sakkiah, Sugunadevi, et al.
Publicado: (2021) -
Competitive molecular docking approach for predicting estrogen receptor subtype α agonists and antagonists
por: Ng, Hui Wen, et al.
Publicado: (2014) -
Competitive docking model for prediction of the human nicotinic acetylcholine receptor α7 binding of tobacco constituents
por: Ng, Hui Wen, et al.
Publicado: (2018)