Evidence map›Paper›PMID 40849746›Full record

ArticleCNS & neurological disorders drug targets2026

Targeting JNK3: An

Mohd Kashif, Balaji Nagarajan, Umesh R Desai, Ashok Kumar Pandurangan

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Article in CNS & neurological disorders drug targets, 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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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Mohd KashifSchool of Life Science, B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, India.ORCID 0000-0003-2856-8274
Balaji NagarajanInstitute for Structural Biology, Drug Discovery and Development, Virginia Commonwealth University, Richmond, Virginia, 23219, United States.ORCID 0000-0003-3892-6178
Umesh R DesaiInstitute for Structural Biology, Drug Discovery and Development, Virginia Commonwealth University, Richmond, Virginia, 23219, United States.ORCID 0000-0002-1976-6597
Ashok Kumar PanduranganSchool of Life Science, B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, India.ORCID 0000-0003-2824-1757

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionJNK3 is a specific isoform of c-Jun N-terminal kinase, mainly found in the brain, and is highly sensitive to stress-associated signals in the central nervous system. It has been reported that JNK3 plays a crucial role in neurite formation and cognition. During pathological states such as Alzheimer's disease, cerebral ischemia, Traumatic brain injury (TBI), Parkinson's disease, and epilepsy, it is found to be in a hyperactivated form. Hyperphosphorylation of amyloid precursor protein (APP) and tau leads to toxic Aβ42 and neurofibrillary tangles. Excess Aβ activates JNK3 signaling, causing neuronal loss. JNK3 also contributes to mitochondrial dysfunction, Oxidative stress, neuroinflammation, and apoptosis, driving AD progression.

methodsThis study aims to identify possible therapeutics based on their physicochemical, ADMET, toxicity, and drug-likeness properties. Moreover, we utilized Molecular docking and Molecular dynamics (MD) simulation to reveal possible inhibitors against JNK3.

resultsBased on the highest binding affinity against JNK3, the best compounds, Myricetin and Kaempferol, were subjected to an MD simulation study. RMSD analysis indicated that the JNK3- Kampferol complex showed more stability; at the same time, myricetin formed more hydrogen bonds with JNK3. Moreover, both compounds exhibited favorable ADMET properties. DISCUSSION: This study identified Kaempferol and myricetin as potential inhibitors that target JNK3 through molecular docking and MD simulation studies. Both compounds demonstrated favorable ADMET profiles, supporting their promise as safe, orally available drug candidates.

conclusionTherefore, Kaempferol and myricetin emerge as promising candidates for further investigations in both in vitro and in vivo studies to treat Alzheimer's disease and other neurodegenerative disorders.

Indexed as

Alzheimer DiseaseMitogen-Activated Protein Kinase 10Amyloid beta-PeptidesComputer SimulationHumansKaempferolsMolecular Docking SimulationMolecular Dynamics SimulationAmyloid beta-PeptidesKaempferolsMitogen-Activated Protein Kinase 10Alzheimer’s diseaseamyloid beta(Aβ)JNK3molecular dockingmolecular dynamics (MD) simulation.neuroinflammationtau

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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.