IDEAS home Printed from https://ideas.repec.org/a/cuo/ijsrch/v11y2026i5id113.html

In Silico ADMET Profiling, Drug-Likeness Evaluation, and Molecular Docking Studies of a Novel Series of Chalcone Derivatives as Potent Anticancer Agents Targeting the 7MSX Protein

Author

Listed:
  • Ami Ravliya
  • Kaushik Joshi
  • Haresh Ram
  • Govind Kher

Abstract

The relentless progression of oncological diseases and the concurrent emergence of multidrug-resistant cancer phenotypes necessitate the continuous and aggressive discovery of novel therapeutic pharmacophores. Chalcones (1,3-diaryl-2-propen-1-ones), a distinct subclass of naturally occurring and synthetic flavonoids, have garnered immense attention in medicinal chemistry due to their highly reactive alpha, beta-unsaturated carbonyl system and privileged structural scaffold, which exhibit profound cytotoxic and apoptotic activities against various malignant cell lines. In this comprehensive computational investigation, a unified series of ten structurally diverse chalcone derivatives (AM-01 to AM-10) was systematically evaluated for their anticancer potential targeting the critical oncogenic protein designated by PDB ID: 7MSX. Advanced molecular docking simulations were executed utilizing AutoDock Vina to precisely elucidate the thermodynamic binding affinities, stereochemical orientations, and non-covalent biomolecular interactions within the hydrophobic active site of the receptor. The synthesized derivatives demonstrated highly negative and favorable binding free energies ranging from -7.0 kcal/mol to -8.9 kcal/mol. Notably, compound AM-10 exhibited the maximum binding affinity (-8.9 kcal/mol), stabilized by robust hydrogen bonding with GLU268 and distinct pi-cation interactions with ARG264. To ascertain the pharmacological viability of these compounds, exhaustive in silico Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) profiling was conducted. All sixteen derivatives exhibited zero violations of Lipinski’s Rule of Five (RO5), alongside optimal Topological Polar Surface Area (TPSA) values, indicating exceptional predicted gastrointestinal absorption and ideal lipophilicity (LogP values between 2.85 and 4.25). Furthermore, toxicity predictive models confirmed an absence of AMES mutagenicity and minimal hepatotoxicity. Consequently, this study establishes the AM-series chalcones, particularly AM-08 and AM-10, as highly viable, safe, and potent lead candidates warranting imminent in vitro and in vivo translational oncology studies.

Suggested Citation

  • Ami Ravliya & Kaushik Joshi & Haresh Ram & Govind Kher, 2026. "In Silico ADMET Profiling, Drug-Likeness Evaluation, and Molecular Docking Studies of a Novel Series of Chalcone Derivatives as Potent Anticancer Agents Targeting the 7MSX Protein," International Journal of Scientific Research in Chemistry, International Journal of Scientific Research in Chemistry, vol. 11(5), pages 52-62, September.
  • Handle: RePEc:cuo:ijsrch:v11:y2026:i5:id:113
    DOI: 10.5281/zenodo.23647054
    Note: Article URL: https://ijsrch.com/home/article/view/IJSRCH261156
    as

    Download full text from publisher

    File URL: https://ijsrch.com/home/article/view/IJSRCH261156
    File Function: Article URL
    Download Restriction: no

    File URL: https://ijsrch.com/home/article/download/IJSRCH261156/IJSRCH261156
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.5281/zenodo.23647054?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cuo:ijsrch:v11:y2026:i5:id:113. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (email available below). General contact details of provider: https://ijsrch.com/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.