Evidence map›Paper›PMID 40763190›Full record

ArticlePloS one2025

Structure-based identification of bioactive compounds as trace amine-associated receptor 1 agonists for the therapeutic management of major depressive disorder.

Abdelbaset Mohamed Elasbali, Ahmed S Ali, Mohd Adnan, Taj Mohammad, Anas Shamsi, Md Imtaiyaz Hassan

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Abdelbaset Mohamed ElasbaliDepartment of Clinical Laboratory Science, College of Applied Medical Sciences-Qurayyat, Jouf University, Sakakah, Saudi Arabia.ORCID https://orcid.org/0000-0002-7003-9846
Ahmed S AliKing Salman Center for Disability Research, Riyadh 11614, Saudi Arabia.
Mohd AdnanDepartment of Biology, College of Science, University of Ha'il, Ha'il, Saudi Arabia.
Taj MohammadCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India.ORCID https://orcid.org/0000-0002-0399-4835
Anas ShamsiCentre of Medical and Bio-Allied Health Sciences Research, Ajman University, Ajman, United Arab Emirates.
Md Imtaiyaz HassanCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, New Delhi, India.ORCID https://orcid.org/0000-0002-3663-4940

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global burden of major depressive disorder (MDD) drives ongoing efforts to develop safer and more targeted treatment strategies. Modern advances have identified trace amine-associated receptor 1 (TAAR1) as a promising non-monoaminergic target with demonstrated efficacy in treating neuropsychiatric conditions, including MDD. Discovering TAAR1 agonists holds promise for modulating neuropsychiatric disorders while potentially reducing the common side effects associated with conventional therapies. This study employed a structure-based virtual screening approach to identify potential TAAR1 agonists from the IMPPAT database, a curated collection of Indian medicinal plant-derived bioactive phytoconstituents. The initial filtering was done on the compounds based on Lipinski's rule of five, which was followed by molecular docking, PAINS screening, pharmacokinetic evaluation, and bioactivity predictions. Through this integrative screening approach, we discovered two promising phytochemicals, Bianthraquinone and Peimisine, demonstrating strong binding affinities and favorable drug-like properties. Detailed interaction analysis revealed that both compounds formed stable hydrogen bonds, hydrophobic contacts, and π-π stacking interactions with key residues within the TAAR1 binding pocket, contributing to their high binding stability and receptor specificity. All-atom molecular dynamics simulations, MM-PBSA, and essential dynamics analyses affirmed that they were stable and exhibited favorable conformational interactions. These findings highlight the therapeutic potential of naturally derived TAAR1 agonists and support their further exploration as next-generation antidepressants, laying the foundation for future experimental and clinical development.

Indexed as

Antidepressive AgentsMajor Depressive DisorderPhytochemicalsReceptors, G-Protein-CoupledHumansMolecular Docking SimulationMolecular Dynamics SimulationTrace Amine-Associated ReceptorsAntidepressive AgentsPhytochemicalsReceptors, G-Protein-CoupledTrace Amine-Associated Receptors

Identifiers

PMID40763190
PMCPMC12324101

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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.