Evidence map›Paper›PMID 39757647›Full record

ArticleCombinatorial chemistry & high throughput screening2026

Unveiling the Interplay between Dopamine-like Molecules and β-Amyloid Peptide: A Combined Molecular Dynamic and DFT Approach.

Mohammad Erfan Zand, Mohammad Reza Bozorgmehr, Mohammad Momen Heravi, S Ali Beyramabadi

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Article in Combinatorial chemistry & high throughput screening, 2026. 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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5 · Who and what money

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4 authors.

Mohammad Erfan ZandDepartment of Chemistry, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
Mohammad Reza BozorgmehrDepartment of Chemistry, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
Mohammad Momen HeraviDepartment of Chemistry, Mashhad Branch, Islamic Azad University, Mashhad, Iran.
S Ali BeyramabadiDepartment of Chemistry, Mashhad Branch, Islamic Azad University, Mashhad, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThis study aims explore the impact of catechol, dopamine, and L-DOPA on the stability and toxicity of β-amyloid peptides, which play a key role in the neurodegenerative process of Alzheimer's disease, to assess their potential as therapeutic agents.

backgroundAlzheimer's disease is marked by the aggregation of β-amyloid peptides, which contribute to neurodegeneration. Exploring how various compounds interact with β-amyloid peptides can offer valuable insights into potential therapeutic strategies.

objectiveThe objective of this research is to explore the interaction mechanisms of catechol, dopamine, and L-DOPA with β-amyloid peptides and assess their impact on peptide stability and aggregation.

methodThis study employs molecular dynamics simulations combined with density functional theory to investigate the interactions between β-amyloid and the three compounds. It evaluates changes in peptide stability and salt bridge lengths and performs electronic structure analyses using the Electron Localization Function (ELF) and Harmonic Oscillator Model of Aromaticity (HOMA).

resultsThe findings reveal that β-amyloid stability decreases significantly when interacting with dopamine and L-DOPA compared to catechol. All three compounds inhibit β-amyloid, with dopamine and L-DOPA showing stronger effects. Catechol primarily interacts through hydrophobic interactions, while dopamine and L-DOPA also form hydrogen bonds with β-amyloid. Electronic structure analysis shows catechol has higher electron localization and anti-aromatic character, affecting its interactions differently than dopamine and L-DOPA. A decrease in the HOMO-LUMO gap from catechol to L-DOPA to dopamine indicates increasing reactivity towards β-amyloid.

conclusionDopamine and L-DOPA more effectively disrupt β-amyloid aggregation than catechol, likely due to additional hydrogen bonding and increased electronic reactivity. These insights are crucial for developing therapeutic strategies targeting β-amyloid aggregation in Alzheimer's disease, emphasizing the importance of molecular interactions in modulating peptide stability and toxicity. The study also provides a comparative analysis of the electronic properties and interaction dynamics of the compounds, which can guide future research in the design of β-amyloid inhibitors. The utilization of advanced simulation techniques underscores the potential for computational methods in understanding complex biological interactions and developing novel therapeutic agents. Furthermore, the insights into the differential effects of hydrophobic interactions versus hydrogen bonding offer valuable information for the synthesis of new compounds aimed at mitigating β-amyloid toxicity.

Indexed as

Amyloid beta-PeptidesCatecholsDensity Functional TheoryDopamineLevodopaMolecular Dynamics SimulationHumansAmyloid beta-PeptidescatecholCatecholsDopamineLevodopaalzheimer's diseasecatecholdopaminefrontier orbital.protein-ligand interactionβ-amyloid peptide

Identifiers

PMID39757647

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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.