Evidence map›Paper›PMID 42305665›Full record

ArticleFrontiers in bioinformatics2026

Integrated computational-based design of putative dual TrkA/TrkB agonists for Alzheimer's disease: pharmacophore modelling, docking, MM/GBSA, DFT and dynamics studies.

A Vignesh Pandi, Vishnu Malakar, Jeyaram Bharathi Jeyabalan, Megha Sanjai, Krishna Shevate, Kalirajan Rajagopal, B R Prashantha Kumar, Antony Justin

Abstract read
In one paragraph

Article in Frontiers in bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

A Vignesh PandiCentre for Neuropharmacology and Experimental Neuroscience, Department of Pharmacology, JSS Academy of Higher Education and Research, JSS College of Pharmacy, Ooty, Tamil Nadu, India.
Vishnu MalakarDepartment of Pharmacognosy, JSS Academy of Higher Education and Research, JSS College of Pharmacy, Ooty, Tamil Nadu, India.
Jeyaram Bharathi JeyabalanCentre for Neuropharmacology and Experimental Neuroscience, Department of Pharmacology, JSS Academy of Higher Education and Research, JSS College of Pharmacy, Ooty, Tamil Nadu, India.
Megha SanjaiCentre for Neuropharmacology and Experimental Neuroscience, Department of Pharmacology, JSS Academy of Higher Education and Research, JSS College of Pharmacy, Ooty, Tamil Nadu, India.
Krishna ShevateDepartment of Pharmaceutical Chemistry, JSS Academy of Higher Education and Research, JSS College of Pharmacy, Ooty, Tamil Nadu, India.
Kalirajan RajagopalDepartment of Pharmaceutical Chemistry, JSS Academy of Higher Education and Research, JSS College of Pharmacy, Ooty, Tamil Nadu, India.
B R Prashantha KumarDepartment of Pharmaceutical Chemistry, JSS Academy of Higher Education and Research, JSS College of Pharmacy, Mysuru, Karnataka, India.
Antony JustinCentre for Neuropharmacology and Experimental Neuroscience, Department of Pharmacology, JSS Academy of Higher Education and Research, JSS College of Pharmacy, Ooty, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The rapid progression of Alzheimer's disease (AD) is primarily caused by compromised neurotrophin functions and decreased tropomyosin receptor kinase expression in the basal forebrain area. The two main pathogenic features of AD are cholinergic-dependent cognitive dysfunctions and amyloidogenic-induced neurodegeneration. Concurrent stimulation of major neurotrophin signalling pathways, such as tropomyosin receptor kinases receptor A and B (TrkA and TrkB), may reduce amyloid-β-mediated neurotoxicity and cholinergic denervation in the basal forebrain, improving cognitive performance and re-establishing neuronal communication. The development of new medications with dual agonist action towards TrkA and B receptors holds enormous therapeutic potential for managing the symptoms of neurodegenerative diseases. Aim: This study aims to develop novel dual TrkA/TrkB receptor agonists for the treatment of AD by enhancing neurotrophin signalling, reducing cholinergic denervation, and mitigating amyloid-β-induced neurotoxicity. Methods: An Results: Six novel optimised quinoline analogues (OP-1 to OP-6) were identified as computationally predicted dual TrkA/TrkB agonists by molecular docking (-8.90 to -5.07 kcal/mol), MM/GBSA (-40.47 to -30.71 kcal/mol), ADMET and DFT analysis. Furthermore, OP-1, OP-2, and OP-3 exhibit stable binding interactions over 300 ns of MD simulations. The optimised compounds demonstrated favorable computational binding profiles, predicted pharmacokinetic properties, and stable receptor-ligand interactions, identifying them as promising candidates for further experimental validation as potential dual TrkA/TrkB modulators in Alzheimer's disease.

Indexed as

DFT analysisdrug designmolecular dynamicspharmacophore modellingTrkB homology modelling

Identifiers

PMID42305665
PMCPMC13265508

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