MARATTO

article · ChemMedChem

Structure‐Based Discovery of Fumiquinazolines as Skp2–Cks1 Protein–Protein Interaction Disruptors: Mechanistic Computational Insights and Experimental Validation

2026Open accessBeni Suef University

Abstract

The S‐phase kinase‐associated protein 2 (Skp2)–cyclin‐dependent kinase subunit 1 (Cks1) protein–protein interaction (PPI) plays a central role in recognition of phosphorylated p27 and therefore represents an attractive target for anticancer drug discovery. Herein, we sought to identify new small‐molecule disruptors of the Skp2–Cks1 interface from a focused fumiquinazoline‐scaffold library by combining virtual screening, molecular simulation, and experimental validation. Docking showed that all selected compounds occupied the Skp2–Cks1 interfacial hotspot. However, longer 1000‐ns MD simulations, comparative MM/PBSA calculations, and interface‐related metrics revealed distinct structural, energetic, and dynamic binding profiles among the selected compounds. Consistent with these analyses, comparative MM/PBSA evaluation of PPI stability showed that Fumiquinazoline D produced a positive , indicating weakening of the Skp2–Cks1 interface relative to the apo complex, whereas Ardeemin, Fiscalin A, and Fumiquinazoline F generally yielded negative values consistent with interfacial stabilization. Free energy landscape analysis further supported a more weakly confined and dynamically disruptive binding mode for Fumiquinazoline‐ D. In vitro homogeneous time‐resolved fluorescence assays validated these predictions: Fumiquinazoline D inhibited the Skp2–Cks1 interaction with an IC 50 of 6.33 ± 0.44 µM, whereas Ardeemin, Fiscalin A, and Fumiquinazoline F were substantially weaker. Although ADMET profiling identified substantial absorption and toxicity liabilities requiring future optimization, these findings identify Fumiquinazoline D as an early‐stage biochemical hit for disruption of the Skp2–Cks1 interaction and as a potential scaffold for further mechanistic validation and medicinal‐chemistry investigation.

Research topics

  • Cancer-related Molecular Pathways
  • Protein Structure and Dynamics
  • Computational Drug Discovery Methods

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

DOI: 10.1002/cmdc.70470

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.