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Computational biology and chemistry · 2026

Molecular-level insights into the antitumor activity of ellipticine derivatives targeting CDK2 in hepatocellular carcinoma: An advanced computational study.

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Boutadghart Tarik, Nour Hassan, Chtita Samir, Ghailane Rachida

Аннотация

Ellipticine-derived compounds (OBr-, OCl-, OF-, and NHCl-substituted analogues) were comprehensively investigated in silico as potential cyclin-dependent kinase 2 (CDK2) inhibitors relevant to hepatocellular carcinoma. An integrated multi-scale computational workflow combining density functional theory (DFT), ADMET prediction, molecular docking, and molecular dynamics (MD) simulations was employed to provide a robust and holistic validation strategy for candidate prioritization and to enhance prediction reliability. DFT calculations revealed favorable electronic descriptors, including well-distributed frontier molecular orbitals and reactive electrostatic potential regions indicative of strong protein-binding propensity. Pharmacokinetic profiling predicted high intestinal absorption, low toxicity risk, and absence of blood-brain barrier permeation, supporting desirable drug-like characteristics. Molecular docking analyses demonstrated stronger binding affinities of all derivatives compared with the reference inhibitor 2-aminopurine, along with consistent and stable interaction patterns within the CDK2 active site. Subsequent MD simulations confirmed the structural stability of ligand-protein complexes and the persistence of key intermolecular interactions throughout the simulation time, reinforcing the reliability of docking predictions. Overall, the combined multi-level computational approach highlights ellipticine analogues as promising CDK2-targeting candidates with favorable electronic, pharmacokinetic, and binding properties. This integrative strategy underscores their potential as rationally designed therapeutic leads and supports their further investigation for hepatocellular carcinoma treatment.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты