Evidence map›Paper›PMID 41945944›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2026

In Silico Identification of Hydroxyxanthone Derivatives as CDK2/EGFR Dual Inhibitor for Colorectal Cancer Treatment.

Faris Hermawan, Anita Dwi Puspitasari, Lala Adetia Marlina, Ervan Yudha, Nela Fatmasari, Lathifah Puji Hastuti, Rissa Laila Vifta

Abstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 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

7 authors.

Faris HermawanResearch Center for Pharmaceutical Ingredients and Traditional Medicine, National Research and Innovation Agency (BRIN), Tangerang Selatan, Banten 15314, Indonesia.
Anita Dwi PuspitasariFaculty of Pharmacy, Universitas Wahid Hasyim, Semarang 50236, Indonesia.ORCID 0000-0001-7779-2702
Lala Adetia MarlinaResearch Center for Computing, National Research and Innovation Agency (BRIN), Cibinong, Bogor 16911, Indonesia.
Ervan YudhaDepartment of Chemistry, Faculty of Mathematics and Natural Sciences, Universitas Gadjah Mada, Yogyakarta 55281, Indonesia.
Nela FatmasariChemistry Education, Sultan Ageng Tirtayasa University, Serang, Banten 42117, Indonesia.
Lathifah Puji HastutiGraduate School, Universitas Padjadjaran, Bandung 45363, Indonesia.
Rissa Laila ViftaFaculty of Pharmacy, Universitas Islam Sultan Agung, Semarang 50112, Indonesia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveBoth CDK2 (cyclin-dependent kinase 2) and EGFR (epidermal growth factor receptor) play significant roles in the development and progression of colorectal cancer. In vitro studies of several hydroxyxanthone derivatives for the treatment of WiDr cancer cell lines have revealed potential anticancer activity against colorectal cancer. The present study aims to identify hydroxyxanthone derivatives as potential drug candidates for colorectal cancer treatment through an in silico approach.

methodsInteractions between seven hydroxyxanthone (X1-X7) derivatives and CDK2 and EGFR were analyzed using molecular docking, molecular dynamics simulations, and binding energy calculations based on the MM-PBSA method. We also evaluated the physicochemical properties and ADMET profiles using the pkCSM server.

resultDocking studies demonstrated that all hydroxyxanthone derivatives exhibited favorable binding affinities, ranging from -7.25 to -8.57 kcal/mol against CDK2 and -6.79 to -8.31 kcal/mol against EGFR. Following 200 ns molecular dynamics simulations, compounds X4, X5, and X7 showed higher structural stability than doxorubicin and comparable stability to the native ligands C62 and erlotinib. Consistently, MM/PBSA analysis revealed that X4 (-20.27 kcal/mol) and X7 (-25.29 kcal/mol) achieved the most favorable binding free energies for CDK2 and EGFR, respectively. Moreover, these compounds satisfied Lipinski's criteria and met the minimum requirements for ADMET drug-likeness parameters.

conclusionHydroxyxanthone derivatives X4, X5, and X7 exhibit the strongest potential as dual CDK2/EGFR inhibitors and may, therefore, serve as promising candidates for colorectal cancer therapy. Nevertheless, further in vitro and in vivo investigations are required to experimentally validate their therapeutic potential.

Indexed as

Antineoplastic AgentsColorectal NeoplasmsCyclin-Dependent Kinase 2ErbB ReceptorsProtein Kinase InhibitorsXanthonesComputer SimulationHumansMolecular Docking SimulationMolecular Dynamics SimulationAntineoplastic AgentsCDK2 protein, humanCyclin-Dependent Kinase 2EGFR protein, humanErbB ReceptorsProtein Kinase InhibitorsXanthonesHydroxyxanthoneMolecular dockingMolecular DynamicTyrosine kinase

Identifiers

PMID41945944
PMCPMC13609202

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.