Evidence map›Paper›PMID 40649305›Full record

ArticleMolecules (Basel, Switzerland)2025

Molecular Insights into the Interaction of Orexin 1 Receptor Antagonists: A Comprehensive Study Using Classical and Quantum Computational Methods.

Caio Sena, Pedro Albuquerque, Jonas Oliveira, Davi Vieira

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Caio SenaInstituto de Química, Universidade Federal do Rio Grande do Norte, Natal 59072-970, RN, Brazil.ORCID 0000-0001-8044-9446
Pedro AlbuquerqueInstituto de Química, Universidade Federal do Rio Grande do Norte, Natal 59072-970, RN, Brazil.ORCID 0009-0000-1436-5965
Jonas OliveiraDepartamento de Biofísica e Farmacologia, Universidade Federal do Rio Grande do Norte, Natal 59072-970, RN, Brazil.ORCID 0000-0003-1646-921X
Davi VieiraInstituto de Química, Universidade Federal do Rio Grande do Norte, Natal 59072-970, RN, Brazil.ORCID 0000-0001-8353-6262

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sleep disorders, such as insomnia and narcolepsy, significantly impact quality of life. They are often associated with long-term health consequences, including cardiovascular disease, immune dysfunction, and cognitive impairment. While traditional treatments, such as sedatives and hypnotics, can be effective, they are limited by issues of tolerance and dependence. The orexinergic system, particularly the orexin 1 receptor (OXR1), has emerged as a promising therapeutic target due to its central role in regulating sleep-wake cycles. In this study, we investigate the molecular interactions of three OXR1 antagonists-daridorexant, lemborexant, and suvorexant-using an integrated computational approach combining molecular dynamics (MD) simulations, density functional theory (DFT) calculations, and the molecular fractionation with conjugate caps (MFCC) methodology. The MFCC approach enabled the precise quantification of interaction energies between ligands and key receptor residues, providing detailed insights into the contributions of specific amino acids to binding stability. Our results reveal that residues such as GLU204, HIS216, and ASN318 play critical roles in stabilizing ligand-receptor interactions, with a marked decrease in binding energy magnitude as dielectric constants increase. Daridorexant exhibited the strongest interaction energy, driven by hydrogen bonds and hydrophobic contacts, while lemborexant and suvorexant showed distinct stabilization patterns mediated by hydrophobic interactions. These findings provide a robust molecular basis for the rational design of next-generation OXR1 antagonists with improved efficacy and safety profiles. By elucidating drug-receptor interactions at the atomic level, this research underscores the impact of integrated computational approaches in drug discovery. It supports the development of precise targeted therapies for sleep disorders.

Indexed as

Orexin Receptor AntagonistsOrexin ReceptorsAzepinesDensity Functional TheoryHumansLigandsMolecular Docking SimulationMolecular Dynamics SimulationProtein BindingPyridinesPyrimidinesQuantum TheoryTriazolesAzepineslemborexantLigandsOrexin Receptor AntagonistsOrexin ReceptorsPyridinesPyrimidinessuvorexantTriazolesdensity functional theorydrug–receptor interactionsmolecular dynamics simulationmolecular fractionation with conjugate capsorexin 1 receptororexin receptor antagonistssleep disorders

Identifiers

PMID40649305
PMCPMC12250729

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.