Evidence map›Paper›PMID 42653865›Full record

ArticleMolecules (Basel, Switzerland)2026

A Computational Framework for the Design and Development of Isoform Selective PI3Kα Inhibitors as Novel Anticancer Agents.

Milan Jovanović, Teodora Djikic-Stojsic, Branislav Stanković, Marija Popovic-Nikolic, Katarina Nikolic

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 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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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

5 authors.

Milan JovanovićDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Belgrade, Vojvode Stepe 450, 11221 Belgrade, Serbia.ORCID 0000-0002-7312-443X
Teodora Djikic-StojsicDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Belgrade, Vojvode Stepe 450, 11221 Belgrade, Serbia.
Branislav StankovićDepartment of Nuclear and Plasma Physics, "VINCA" Institute of Nuclear Sciences-National Institute of the Republic of Serbia, University of Belgrade, Mike Petrovica Alasa 12-14, Vinca, 11351 Belgrade, Serbia.ORCID 0000-0003-1649-9005
Marija Popovic-NikolicDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Belgrade, Vojvode Stepe 450, 11221 Belgrade, Serbia.ORCID 0000-0002-8902-3211
Katarina NikolicDepartment of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Belgrade, Vojvode Stepe 450, 11221 Belgrade, Serbia.ORCID 0000-0002-3656-9245

Funding

Ministry of Science, Technological Development, and Innovation 451-03-33/2026-03/200017Ministry of Science, Technological Development, and Innovation 451-03-33/2026-03/200161Ministry of Science, Technological Development, and Innovation 451-03-34/2026-03/200161
6 · The paper itself

Abstract

backgroundPhosphatidylinositol 3-kinase (PI3K) is a promising anticancer drug target, and selective PI3Kα inhibition may provide both efficacy and an improved safety profile. This study aimed to design new potentially selective PI3Kα inhibitors using computer-aided drug design (CADD).

methodsBenzoxazepine and thiazole derivatives were investigated using molecular dynamics, ensemble docking, and Three-Dimensional Quantitative Structure-Activity Relationship (3D-QSAR) analyses. Scaffold hopping, substituent replacement, structure-based virtual screening, and density functional theory (DFT) calculations were then applied to guide the design and characterization of new derivatives.

resultsThe study identified new chemotypes capable of interacting with PI3Kα Val851 (αVal851) in the hinge region, including chromeno[3,4-d]imidazole, 2H-benzo[b]oxazine, and quinoline derivatives. Additional substructures directed toward hydrophobic region II and the αGln859 interaction environment supported predicted selectivity over PI3Kβ, PI3Kγ, and PI3Kδ.

conclusionsThe results establish a comprehensive CADD framework for the rational design of selective PI3Kα inhibitors and provide new compounds with improved predicted selectivity profiles for further development.

Indexed as

Antineoplastic AgentsDrug DesignPhosphoinositide-3 Kinase InhibitorsProtein Kinase InhibitorsComputer-Aided DesignHumansMolecular Docking SimulationMolecular Dynamics SimulationMolecular StructurePharmacophorePhosphatidylinositol 3-KinasesQuantitative Structure-Activity RelationshipAntineoplastic AgentsPhosphatidylinositol 3-KinasesPhosphoinositide-3 Kinase InhibitorsProtein Kinase Inhibitors3D-QSARADMETanticancer agentsCADDDFTensemble dockingPI3Kα selective inhibitorsscaffold hopping

Identifiers

PMID42653865
PMCPMC13515537

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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.