2021
DOI: 10.3390/pharmaceutics13091449
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3D-ALMOND-QSAR Models to Predict the Antidepressant Effect of Some Natural Compounds

Abstract: The current treatment of depression involves antidepressant synthetic drugs that have a variety of side effects. In searching for alternatives, natural compounds could represent a solution, as many studies reported that such compounds modulate the nervous system and exhibit antidepressant effects. We used bioinformatics methods to predict the antidepressant effect of ten natural compounds with neuroleptic activity, reported in the literature. For all compounds we computed their drug-likeness, absorption, distr… Show more

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Cited by 10 publications
(3 citation statements)
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“…Recent studies have shown that eucalyptol regulates the neurotransmitters in the brain. It is a compound that restores 5‐HT exocytosis (Kim et al, 2022), and molecular docking studies have shown that it can bind to both dopamine receptors D 2 and 5‐HT1A (Avram et al, 2021). Moreover, it uses the GABA (γ‐aminobutyric acid)/benzodiazepine receptor to mediate the anxiolytic effects (Dougnon & Ito, 2020).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Recent studies have shown that eucalyptol regulates the neurotransmitters in the brain. It is a compound that restores 5‐HT exocytosis (Kim et al, 2022), and molecular docking studies have shown that it can bind to both dopamine receptors D 2 and 5‐HT1A (Avram et al, 2021). Moreover, it uses the GABA (γ‐aminobutyric acid)/benzodiazepine receptor to mediate the anxiolytic effects (Dougnon & Ito, 2020).…”
Section: Resultsmentioning
confidence: 99%
“…Recent studies have shown that eucalyptol regulates the neurotransmitters in the brain. It is a compound that restores 5-HT exocytosis (Kim et al, 2022), and molecular docking studies have shown that it can bind to both dopamine receptors D 2 and 5-HT1A (Avram et al, 2021).…”
Section: Pharmacokinetic Studymentioning
confidence: 99%
“…Quantitative structure–activity relationships (QSAR) investigations are a fast computational approach for predicting a compound’s biological activity from its chemical structure. QSAR techniques aid medicinal chemists in comprehending the link between hypoglycaemic action and molecular characteristics [ 110 , 111 , 112 ]. Statistical measures such as the cross-validated correlation coefficient, fitted correlation coefficient, and standard deviation of error prediction are commonly used to assess QSAR investigations [ 113 ].…”
Section: Quantitative Structure–activity Relationships (Qsar) Predicted Anti-diabetic Activitymentioning
confidence: 99%