UPM Institutional Repository

In silico and in vitro strategies against MCF-7 cells using fluorinated xanthone derivatives


Citation

Mohd Razib, Salsabiilaa and Devakrishnan, Pavithren and Mad Nasir, Nadiah and Stanslas, Johnson and Baharuddin, Fatin Farhana and Abdulwahab, Muhammad Kumayl (2025) In silico and in vitro strategies against MCF-7 cells using fluorinated xanthone derivatives. Malaysian Journal of Chemistry, 27 (4). pp. 78-94. ISSN 1511-2292; eISSN: 2550-1658

Abstract

Six xanthone derivatives were successfully synthesized, including three newly fluorinated xanthones (4-6). The binding affinities of compounds with receptors associated with breast cancer (3EQM) were assessed, and compound 6 showed the highest binding energy with-9.8 kcal/mol. A QSAR (Quantitative Structure–Activity Relationship) model using seven descriptors was developed to predict anticancer activity, and it found that binding affinity played a key role in identifying strong anticancer inhibitors. Molecular dynamics simulations demonstrated stability and provided details on ligand-receptor interactions. Compound 6 inhibited the MCF-7 cell line at 10 µM with IC50 values of 92.24 ± 1.04 %, while causing minimal harm in Beas-2B cells (normal lung cells). As compound 6 is a non-toxic compound, its derivatives should be investigated for further bioactivities.


Download File

[img] Text
127468.pdf - Published Version
Available under License Creative Commons Attribution.

Download (812kB)

Additional Metadata

Item Type: Article
Subject: Chemistry (all)
Subject: Materials Chemistry
Divisions: Faculty of Medicine and Health Science
Faculty of Science
DOI Number: https://doi.org/10.55373/mjchem.v27i4.78
Publisher: Malaysian Institute of Chemistry
Keywords: Cancer; Molecular docking; Molecular dynamic; QSAR; Synthesis; Xanthone
Sustainable Development Goals (SDGs): SDG 3: Good Health and Well-being, SDG 12: Responsible Consumption and Production, SDG 9: Industry, Innovation and Infrastructure
Depositing User: MS. HADIZAH NORDIN
Date Deposited: 29 Jul 2026 03:11
Last Modified: 29 Jul 2026 03:11
Altmetrics: https://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.55373/mjchem.v27i4.78
URI: http://psasir.upm.edu.my/id/eprint/127468
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item