ArticleBiophysical journal2017
Exploring Binding Mechanisms in Nuclear Hormone Receptors by Monte Carlo and X-ray-derived Motions.
Article in Biophysical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 25 citations in OpenAlex.
- Discovery of Novel Anti-Resistance AR Antagonists Guided by Funnel Metadynamics Simulation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Recent PELE Developments and Applications in Drug Discovery Campaigns.International journal of molecular sciences · 2022Review
- Structural mechanism underlying ligand binding and activation of PPARγ.Structure (London, England : 1993) · 2021Article
- A structural signature motif enlightens the origin and diversification of nuclear receptors.PLoS genetics · 2021Article
- ΔBritish journal of pharmacology · 2020Article
- Monte Carlo simulations using PELE to identify a protein-protein inhibitor binding site and pose.RSC advances · 2020Article
- Atomistic simulations shed new light on the activation mechanisms of RORγ and classify it as Type III nuclear hormone receptor regarding ligand-binding paths.Scientific reports · 2019Article
- Adaptive simulations, towards interactive protein-ligand modeling.Scientific reports · 2017Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, we performed an extensive exploration of the ligand entry mechanism for members of the steroid nuclear hormone receptor family (androgen receptor, estrogen receptor α, glucocorticoid receptor, mineralocorticoid receptor, and progesterone receptor) and their endogenous ligands. The exploration revealed a shared entry path through the helix 3, 7, and 11 regions. Examination of the x-ray structures of the receptor-ligand complexes further showed two distinct folds of the helix 6-7 region, classified as "open" and "closed", which could potentially affect ligand binding. To improve sampling of the helix 6-7 loop, we incorporated motion modes based on principal component analysis of existing crystal structures of the receptors and applied them to the protein-ligand sampling. A detailed comparison with the anisotropic network model (an elastic network model) highlights the importance of flexibility in the entrance region. While the binding (interaction) energy of individual simulations can be used to score different ligands, extensive sampling further allows us to predict absolute binding free energies and analyze reaction kinetics using Markov state models and Perron-cluster cluster analysis, respectively. The predicted relative binding free energies for three ligands binding to the progesterone receptor are in very good agreement with experimental results and the Perron-cluster cluster analysis highlighted the importance of a peripheral binding site. Our analysis revealed that the flexibility of the helix 3, 7, and 11 regions represents the most important factor for ligand binding. Furthermore, the hydrophobicity of the ligand influences the transition between the peripheral and the active binding site.
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