Evidence map›Paper›PMID 41688539›Full record

ArticleScientific reports2026

Exploring imidazo[1,2-a]pyridine hybrids in cancer therapy: ADMET profiling, molecular docking, MD simulations and DFT calculations.

Drashti Shah, Afzal Nagani, Moksh Shah, Ashish Patel

Abstract read
In one paragraph

Article in Scientific reports, 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

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

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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

4 authors.

Drashti ShahDepartment of Pharmaceutical Chemistry, Parul Institute of Pharmacy, Parul University, Vadodara, Gujarat, India.
Afzal NaganiDepartment of Pharmaceutical Chemistry, Parul Institute of Pharmacy, Parul University, Vadodara, Gujarat, India.
Moksh ShahDepartment of Pharmaceutical Chemistry, Parul Institute of Pharmacy, Parul University, Vadodara, Gujarat, India.
Ashish PatelDepartment of Pharmaceutical Chemistry, Parul Institute of Pharmacy, Parul University, Vadodara, Gujarat, India. ashish.patel37608@paruluniversity.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cyclin dependent kinase 2 (CDK2) is a critical regulator of cell cycle progression and an important therapeutic target in cancer treatment. In this study, imidazo[1,2-a]pyridine-quinazoline hybrids were computationally explored as potential CDK2 inhibitors using an integrated in silico framework. Virtual screening enabled the prioritization of compounds exhibiting favourable interactions with the CDK2 active site particularly through hinge region residues. Among the screened library, two compounds AD20 and AD28 emerged as top ranked based on a consensus assessment of binding affinity and predicted pharmacokinetic suitability. These compounds demonstrated stable binding behaviour, favourable drug likeness, and electronic features supportive of molecular stability and reactivity. Importantly, the findings represent computational prioritization rather than experimental validation. Overall, this study highlights imidazo[1,2-a]pyridine hybrids as promising scaffolds for further optimization and provides a rational basis for future experimental evaluation toward CDK2 targeted anticancer drug development.

Indexed as

Antineoplastic AgentsCyclin-Dependent Kinase 2ImidazolesNeoplasmsProtein Kinase InhibitorsPyridinesDensity Functional TheoryHumansMolecular Docking SimulationMolecular Dynamics SimulationAntineoplastic AgentsCDK2 protein, humanCyclin-Dependent Kinase 2imidazo(1,2-a)pyridineImidazolesProtein Kinase InhibitorsPyridinesCDK2Density functional theoryImidazo[1,2-a]pyridine hybridsMolecular dockingMolecular dynamics simulation

Identifiers

PMID41688539
PMCPMC12992680

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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.