In silico drug discovery of melatonin receptor ligands with therapeutic potential.
3D-QSAR
Circadian rhythm
docking
drug design
melatonin
melatonin receptors
pharmacophore
sleep disorders
virtual screening
Journal
Expert opinion on drug discovery
ISSN: 1746-045X
Titre abrégé: Expert Opin Drug Discov
Pays: England
ID NLM: 101295755
Informations de publication
Date de publication:
04 2022
04 2022
Historique:
pubmed:
9
3
2022
medline:
6
4
2022
entrez:
8
3
2022
Statut:
ppublish
Résumé
The neurohormone melatonin ( The following review describes the design strategies that have led to the identification of melatonin receptor ligands, guided by in silico approaches and molecular modeling. Initial ligand-based design, mainly relying on pharmacophore modeling and 3D-QSAR, has been flanked by structure-based virtual screening, given the recent availability of MT An insight on the pharmacological characterization and therapeutic perspectives for relevant ligands is provided. In silico drug discovery has been instrumental in the design of novel ligands targeting melatonin receptors. Ligand-based approaches has led to the construction of a solid framework defining structure-activity relationships to obtain compounds with a tailored pharmacological profile. Structure-based techniques could integrate previous knowledge and provide compounds with novel chemotypes and pharmacological activity as drug candidates for disease conditions in which melatonin receptor ligands are currently being investigated, including cancer and pain.
Identifiants
pubmed: 35255751
doi: 10.1080/17460441.2022.2043846
doi:
Substances chimiques
Ligands
0
Receptor, Melatonin, MT1
0
Receptor, Melatonin, MT2
0
Melatonin
JL5DK93RCL
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM