"In Silico Development and Evaluation of Doxorubicin Hybrids as Potent Anticancer Agents"

Doxorubicin remains a cornerstone in cancer chemotherapy; however, its clinical utility is hindered by doselimiting toxicities and drug resistance. In this study, novel hybrid derivatives of doxorubicin were computationally designed and evaluated for their anticancer potential using in silico methods. Ligands were constructed using ChemSketch and assessed for physicochemical properties (Molinspiration), pharmacokinetic profiles (SwissADME), and biological activities (PASS). Toxicity was predicted via GUSAR, while molecular docking was performed using AutoDock Vina with key cancer-related protein targets. Docking results indicated favorable binding affinities, particularly with 5zad and 4zqf, suggesting enhanced therapeutic interactions. Visualization of ligand-protein interactions was conducted using Biovia Discovery Studio. This study demonstrates the potential of doxorubicin hybrids as promising leads for further development in anticancer therapy. Further in vitro and in vivo validation is warranted.

Authors

Publication Details

Journal
International Journal of Pharmaceutical Science Invention
Published
2025-04-01
DOI
https://doi.org/10.35629/6718-14045565
Primary Topic
Cancer Treatment and Pharmacology
Type
article
Field-Weighted Citation Impact
0.00
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article

"In Silico Development and Evaluation of Doxorubicin Hybrids as Potent Anticancer Agents"

SM Apoorva, Asma Fatima, Bantal Veeresh, Ameena Qavi Ameena Qavi et al.
International Journal of Pharmaceutical Science Invention
Cancer Treatment and Pharmacology
article

"In Silico Development and Evaluation of Doxorubicin Hybrids as Potent Anticancer Agents"

SM Apoorva, Asma Fatima, Bantal Veeresh, Ameena Qavi Ameena Qavi, Nabeel Karigar Nabeel Karigar
article en

Abstract

Doxorubicin remains a cornerstone in cancer chemotherapy; however, its clinical utility is hindered by doselimiting toxicities and drug resistance. In this study, novel hybrid derivatives of doxorubicin were computationally designed and evaluated for their anticancer potential using in silico methods. Ligands were constructed using ChemSketch and assessed for physicochemical properties (Molinspiration), pharmacokinetic profiles (SwissADME), and biological activities (PASS). Toxicity was predicted via GUSAR, while molecular docking was performed using AutoDock Vina with key cancer-related protein targets. Docking results indicated favorable binding affinities, particularly with 5zad and 4zqf, suggesting enhanced therapeutic interactions. Visualization of ligand-protein interactions was conducted using Biovia Discovery Studio. This study demonstrates the potential of doxorubicin hybrids as promising leads for further development in anticancer therapy. Further in vitro and in vivo validation is warranted.

International Journal of Pharmaceutical Science InventionVol. 14(4)
Openalex Percentile: Top 72%
Cancer Treatment and Pharmacology
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