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How does stress affect human being-a molecular dynamic simulation study on cortisol and its glucocorticoid receptor
1Jilin Electric Power Company Limited Electric Power Research Institute, Changchun 130021, China.
Saudi Journal of Biological Sciences
|April 8, 2017
Summary
This study used molecular dynamic simulations to understand how cortisol binds to its receptor at the atomic level. Key residues crucial for cortisol binding were identified, aiding drug design for stress-related illnesses.
Area of Science:
- Biochemistry
- Molecular Biology
- Pharmacology
Background:
- Stress impacts human mental and physical health, with links to illness.
- Cortisol binds to the glucocorticoid receptor, a key component of the stress response.
- The atomic-level structure-function relationship between cortisol and its receptor is not fully understood.
Purpose of the Study:
- To elucidate the atomic-level structure-function relationships between cortisol and the glucocorticoid receptor.
- To identify key molecular interactions governing cortisol-glucocorticoid receptor binding.
- To provide insights for developing drugs targeting stress-related conditions.
Main Methods:
- Molecular dynamic (MD) simulations were performed on the glucocorticoid receptor (Apo system) and the cortisol-glucocorticoid receptor complex (HCY system).
- Analysis of simulation trajectories to identify critical residues involved in ligand binding.
- Binding free energy calculations to validate simulation results.
Main Results:
- Key residues essential for cortisol binding to the glucocorticoid receptor were identified through MD simulations.
- Binding free energy calculations showed good agreement with experimental data.
- Detailed atomic-level insights into the structural basis of cortisol-receptor interaction were obtained.
Conclusions:
- The study provides a clear, atomic-level understanding of the structural-functional aspects of cortisol-glucocorticoid receptor interactions.
- Identified key residues offer potential targets for drug design.
- Findings contribute valuable information for developing novel therapeutics for stress-related illnesses.
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