Targeting serotonin receptors with phytochemicals - an in-silico study

Area of Science:

• Computational chemistry
• Pharmacology
• Natural product research

Background:

• Depression is a prevalent mental health disorder with limited treatment options.
• Natural phytochemicals are increasingly recognized for their therapeutic potential.
• Serotonin (5-HT) receptors are key targets for antidepressant drug development.

Purpose of the Study:

• To evaluate 88 natural phytochemicals for antidepressant potential.
• To investigate interactions with serotonin receptors (5-HT1A, 5-HT4, 5-HT7).
• To identify compounds with favorable drug-like properties.

Main Methods:

• Molecular docking and redocking
• ADMET analysis for pharmacokinetic properties
• Normal Mode Analysis (NMA), Molecular Dynamics Simulation (MDS), and free energy calculations

Main Results:

• Five compounds (Genistein, Kaempferol, Daidzein, Peonidin, glycitein) showed promising binding and pharmacokinetic profiles.
• NMA, MDS, and free energy calculations confirmed stable ligand-receptor interactions.
• Phytochemicals effectively interact with 5-HT receptors.

Conclusions:

• Selected phytochemicals exhibit significant potential as natural antidepressants.
• These compounds offer a promising strategy for developing novel depression treatments.
• Further in vitro and in vivo studies are recommended to validate efficacy.