Evidence map›Paper›PMID 35993476›Full record

ArticleAnti-cancer agents in medicinal chemistry2025

Computational Modelling Strategies for Exploring Triazolopyridazine PIM1 Kinase Inhibitors as Anticancer Agents.

Vinayak Walhekar, Chandrakant Bagul, Dileep Kumar, Garlapati Achaiah, Amol Muthal, Ravindra Kulkarni, Maccha Basavarju

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Article in Anti-cancer agents in medicinal chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 30% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Vinayak WalhekarDepartment of Pharmaceutical Chemistry, BVDU'S Poona College of Pharmacy, Erandwane Pune-411038, Maharashtra, India.ORCID 0000-0002-5933-4692
Chandrakant BagulDepartment of Pharmaceutical Chemistry, BVDU'S Poona College of Pharmacy, Erandwane Pune-411038, Maharashtra, India.ORCID 0000-0002-6548-1197
Dileep KumarDepartment of Pharmaceutical Chemistry, BVDU'S Poona College of Pharmacy, Erandwane Pune-411038, Maharashtra, India.ORCID 0000-0002-3418-4325
Garlapati AchaiahUniversity College of Pharmaceutical Sciences, Kakatiya University, Warangal 506009, Andhra Pradesh, India.
Amol MuthalDepartment of Pharmacology, BVDU'S Poona College of Pharmacy, Erandwane Pune-411038, Maharashtra, India.ORCID 0000-0003-1426-9951
Ravindra KulkarniDepartment of Pharmaceutical Chemistry, BVDU'S Poona College of Pharmacy, Erandwane Pune-411038, Maharashtra, India.ORCID 0000-0001-9455-7958
Maccha BasavarjuDepartment of Pharmaceutical Chemistry, Jayamukhi Institute of Pharmaceutical Sciences, Narsampet, Warangal 506332, Telangana, India.
B. J. Medical College & Sassoon Hospital · INKakatiya University · INNational Institute of Pharmaceutical Education and Research (NIPER) - Ahmedabad · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPIM (Proviral Integration site for Moloney Murine Leukemia virus) kinases are members of the class of kinase family serine/threonine kinases, which play a crucial role in cancer development. As there is no drug in the market against PIM-1, kinase has transpired as a budding and captivating target for discovering new anticancer agents targeting PIM-1 kinase.

aimThe current research pondered the development of new PIM-1 kinase inhibitors by applying a ligand-based and structure-based drug discovery approach involving 3D QSAR, molecular docking, and dynamics simulation.

methodsIn this study, association allying the structural properties and biological activity was undertaken using 3DQSAR analysis. The 3D-QSAR model was generated with the help of 35 compounds from which the best model manifested an appreciated cross-validation coefficient (q

resultsThe molecular docking analysis demonstrated that the analogs under analysis occupied the active site of the PIM-1 kinase receptor and interactions with Lys67 in the catalytic region, Asp186 in the DFG motif, and Glu171 were noticed with numerous compounds. DISCUSSION: Furthermore, the molecular dynamics simulation study stated that the ligand portrayed strong conformational stability within the active site of PIM-1 kinase protein, forming two hydrogen bonds until 100 ns, respectively.

conclusionOverall outcomes of the study revealed that applications of the ligand-based drug discovery approach and structure-based drug discovery strategy conceivably applied to discovering new PIM-1 kinase inhibitors as anticancer agents.

Indexed as

Antineoplastic AgentsProtein Kinase InhibitorsProto-Oncogene Proteins c-pim-1PyridazinesTriazolesCell ProliferationDose-Response Relationship, DrugDrug Screening Assays, AntitumorHumansMolecular Docking SimulationMolecular Dynamics SimulationMolecular StructureQuantitative Structure-Activity RelationshipAntineoplastic AgentsPIM1 protein, humanProtein Kinase InhibitorsProto-Oncogene Proteins c-pim-1PyridazinesTriazoles3D QSARmolecular dockingmolecular dynamicsPIM-1 kinasePLS analysisprostate cancer.

Identifiers

PMID35993476
OpenAlexW4292486124

What Socratic holds

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Registered trials

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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 Socratic graph.