Integrating classical and quantum mechanics in melatonin receptors for structure-guided drug design

Although melatonin receptor agonists are acknowledged for their therapeutic potential for managing sleep problems, the structural optimization of these compounds is made challenging by variations in crystallographic data. This study aims to improve the structure of the melatonin receptor type 1 and ramelteon (MT1-RMT) complex and propose a new melatonin receptor agonist with an enhanced binding affinity. Molecular dynamics (MD) simulations have been used to improve the experimental MT1-RMT complex, followed by quantum-mechanical (QM) calculations employing density functional theory (DFT) to assess ligand–receptor interactions. The MD simulations effectively optimized the MT1-RMT complex, resulting in a conformation that was consistent with the experimental binding affinities. The QM calculations validated the improved binding affinity, and additional structural insights facilitated the rational design of a new agonist, N-[2-(5-methoxy-2-phenyl-1H-indol-3-yl)ethyl]propanamide (MPI), which exhibited better affinity for the MT1 and melatonin receptor type 2 (MT2) receptors. These findings suggest that MD-based refinement enhances the precision of protein–ligand complex models and that MPI is a suitable candidate for future pharmaceutical development. Subsequent research should examine the pharmacokinetic characteristics and in vivo effectiveness of MPI.

Authors

Institutions

Publication Details

Journal
Academia Biology
Published
2025-09-26
DOI
https://doi.org/10.20935/acadbiol7907
Primary Topic
Circadian rhythm and melatonin
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Integrating classical and quantum mechanics in melatonin receptors for structure-guided drug design

Gabriela de Lima Menezes, Carina Dantas, Roosevelt Alves da Silva, Gabriel Vinícius Rolim Silva et al.
Academia Biology
Circadian rhythm and melatonin
article

Integrating classical and quantum mechanics in melatonin receptors for structure-guided drug design

Gabriela de Lima Menezes, Carina Dantas, Roosevelt Alves da Silva, Gabriel Vinícius Rolim Silva, Katyanna Sales Bezerra, Umberto L. Fulco, Jonas Ivan Nobre Oliveira, Douglas S. Galvão, Marielena Vogel Saivish, John Fontenele Araújo
article en

Abstract

Although melatonin receptor agonists are acknowledged for their therapeutic potential for managing sleep problems, the structural optimization of these compounds is made challenging by variations in crystallographic data. This study aims to improve the structure of the melatonin receptor type 1 and ramelteon (MT1-RMT) complex and propose a new melatonin receptor agonist with an enhanced binding affinity. Molecular dynamics (MD) simulations have been used to improve the experimental MT1-RMT complex, followed by quantum-mechanical (QM) calculations employing density functional theory (DFT) to assess ligand–receptor interactions. The MD simulations effectively optimized the MT1-RMT complex, resulting in a conformation that was consistent with the experimental binding affinities. The QM calculations validated the improved binding affinity, and additional structural insights facilitated the rational design of a new agonist, N-[2-(5-methoxy-2-phenyl-1H-indol-3-yl)ethyl]propanamide (MPI), which exhibited better affinity for the MT1 and melatonin receptor type 2 (MT2) receptors. These findings suggest that MD-based refinement enhances the precision of protein–ligand complex models and that MPI is a suitable candidate for future pharmaceutical development. Subsequent research should examine the pharmacokinetic characteristics and in vivo effectiveness of MPI.

Academia BiologyVol. 3(3)
Universidade Estadual de Campinas (UNICAMP) (BR), Universidade Federal do Rio Grande do Norte (BR), Universidade Potiguar (BR), Brazilian Center for Research in Energy and Materials (BR)
Openalex Percentile: Top 72%
Circadian rhythm and melatonin
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.