Evidence map›Paper›PMID 40887885›Full record

ArticleJournal of chemical information and modeling2025

Water-Based Pharmacophore Modeling in Kinase Inhibitor Design: A Case Study on Fyn and Lyn Protein Kinases.

Martin Ljubič, Marija Sollner Dolenc, Jure Borišek, Andrej Perdih

Abstract read
In one paragraph

Article in Journal of chemical information and modeling, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Martin LjubičNational Institute of Chemistry, Hajdrihova 19, 1000, Ljubljana, Slovenia.
Marija Sollner DolencFaculty of Pharmacy, University of Ljubljana, Aškerčeva cesta 7, 1000 Ljubljana, Slovenia.ORCID 0000-0002-0560-3762
Jure BorišekNational Institute of Chemistry, Hajdrihova 19, 1000, Ljubljana, Slovenia.ORCID 0000-0003-3417-0940
Andrej PerdihNational Institute of Chemistry, Hajdrihova 19, 1000, Ljubljana, Slovenia.ORCID 0000-0002-6645-9231

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Water-based pharmacophore modeling is an emerging approach in inhibitor design that leverages the dynamics of explicit water molecules within ligand-free, water-filled binding sites to derive 3D pharmacophores for virtual screening. In this study, we assess the potential of this strategy through a case study targeting the ATP binding sites of Fyn and Lyn protein kinases─members of the Src family that have been less explored in anticancer drug discovery compared to other family members. Molecular dynamics simulations of multiple kinase structures were used to generate and validate several water-derived pharmacophores, which were subsequently employed to screen chemically diverse libraries of compounds. Two active compounds were identified in biochemical assays: a flavonoid-like molecule with low-micromolar inhibitory activity and a weaker inhibitor from the library of nature-inspired synthetic compounds. Structural analysis via molecular docking and simulations revealed that key predicted interactions, particularly with the hinge region and the ATP binding pocket, were retained in the bound states of these hits. However, interactions with more flexible regions, such as the N-terminal lobe and activation loop, were less consistently captured. These findings outline both the strengths and challenges of using water-based pharmacophores: while effective at modeling conserved core interactions, they may miss peripheral contacts governed by protein flexibility. Incorporating ligand information where available may help address this challenge. Overall, water-based pharmacophore modeling presents a promising ligand-independent strategy for identifying novel chemotypes and exploring undercharged chemical and conformational space in kinases as well as other therapeutically relevant targets.

Indexed as

Drug DesignProtein Kinase InhibitorsProto-Oncogene Proteins c-fynsrc-Family KinasesWaterAdenosine TriphosphateBinding SitesHumansLigandsMolecular Docking SimulationMolecular Dynamics SimulationPharmacophoreAdenosine TriphosphateLigandslyn protein-tyrosine kinaseProtein Kinase InhibitorsProto-Oncogene Proteins c-fynsrc-Family KinasesWater

Identifiers

PMID40887885
PMCPMC12458683

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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.