Evidence map›Paper›PMID 42747078›Full record

ReviewDrug development research2026

Advances in N- and S-Heterocycles as c-Jun-N-Terminal Kinase 3 Inhibitors for Alzheimer's Disease Treatment.

Parul Yadav, Deepak Mishra, Ram Singh

Abstract readReview
In one paragraph

Review in Drug development research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Parul YadavDepartment of Applied Chemistry, Delhi Technological University, Delhi, India.ORCID https://orcid.org/0000-0002-0677-8644
Deepak MishraDepartment of Applied Chemistry, Delhi Technological University, Delhi, India.ORCID https://orcid.org/0000-0003-1552-4360
Ram SinghDepartment of Applied Chemistry, Delhi Technological University, Delhi, India.ORCID https://orcid.org/0000-0002-7887-2138

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

c-Jun-N-terminal kinase 3 (JNK3) inhibitors are emerging as promising therapeutic agents for the treatment of Alzheimer's disease (AD). Predominantly expressed in the central nervous system (CNS), JNK3 plays a crucial role in neuronal apoptosis and inflammation, processes that are often dysregulated in neurodegenerative conditions. In recent years, a diverse range of heterocycle scaffolds has been explored as selective JNK3 inhibitors, demonstrating significant potential in modulating disease pathology. Structure-activity relationship (SAR) studies have further facilitated the rational design and optimization of these compounds, improving their potency, selectivity, and pharmacokinetic profiles. By selectively inhibiting JNK3, these small compounds can mitigate neuroinflammation and promote neuronal survival. The development of small molecule JNK3 inhibitors offers a targeted approach that may minimize side effects. This article explores various heterocyclic molecules such as pyrazoles, thiazoles, imidazoles, and thiophenes, evaluated for JNK3 inhibition. This review will help medicinal chemists to design and develop new molecules based on established data on isoform-selective JNK3 inhibitors.

Indexed as

Alzheimer DiseaseHeterocyclic CompoundsMitogen-Activated Protein Kinase 10Protein Kinase InhibitorsAnimalsDrug DesignHumansStructure-Activity RelationshipHeterocyclic CompoundsMitogen-Activated Protein Kinase 10Protein Kinase InhibitorsAlzheimer's diseaseJNK3 inhibitorsneurodegenerationN‐heterocyclesS‐heterocycles

Identifiers

PMID42747078
PMCPMC13580127

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.