ArticleCNS & neurological disorders drug targets2026
Targeting JNK3: An
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.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
40849746What OpenQuestion holds
Registered trials
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.