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Molecular Insights into the Interaction of Orexin 1 Receptor Antagonists: A Comprehensive Study Using Classical and
Caio Sena1, Pedro Albuquerque1, Jonas Oliveira2
1Instituto de Química, Universidade Federal do Rio Grande do Norte, Natal 59072-970, RN, Brazil.
Daridorexant, lemborexant, and suvorexant are OXR1 antagonists for sleep disorders. Computational analysis revealed key residues and interactions, with daridorexant showing the strongest binding for improved drug design.
Area of Science:
- Pharmacology
- Computational Chemistry
- Neuroscience
Background:
- Sleep disorders like insomnia and narcolepsy severely affect life quality and health.
- Traditional treatments have limitations like tolerance and dependence.
- The orexinergic system, specifically the orexin 1 receptor (OXR1), is a key target for sleep-wake cycle regulation.
Purpose of the Study:
- To investigate molecular interactions of OXR1 antagonists (daridorexant, lemborexant, suvorexant).
- To provide a molecular basis for designing improved OXR1 antagonists for sleep disorders.
Main Methods:
- Integrated computational approach: molecular dynamics (MD) simulations, density functional theory (DFT) calculations.
- Molecular Fractionation with Conjugate Caps (MFCC) methodology for quantifying ligand-receptor interaction energies.
- Analysis of specific amino acid contributions to binding stability.
Main Results:
- Identified critical residues (GLU204, HIS216, ASN318) for stabilizing OXR1 antagonist binding.
- Observed decreased binding energy with increasing dielectric constants.
- Daridorexant demonstrated the strongest interaction energy via hydrogen bonds and hydrophobic contacts.
- Lemborexant and suvorexant exhibited distinct binding patterns primarily through hydrophobic interactions.
Conclusions:
- Computational methods offer detailed insights into drug-receptor interactions at the atomic level.
- Findings support the rational design of next-generation OXR1 antagonists with enhanced efficacy and safety.
- This research advances targeted therapies for sleep disorders through precise molecular understanding.
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