In silico investigation of the binding interaction between steroidal drugs and HMG CoA reductase for cancer treatment

The enzyme 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMG-CoA reductase) serves as the rate-limiting catalyst in cholesterol synthesis and has gained attention as a potential target in cancer therapy due to its involvement in cellular proliferation and survival pathways. In this work, an in silico analysis was conducted to examine the binding interactions of various steroidal drugs with HMG-CoA reductase to assess their anticancer potential. Molecular docking was performed using AutoDock Vina to evaluate binding energies, hydrogen bond formation, and the specific amino acid residues involved in the interactions, providing insights into the stability of the drug-enzyme complexes. The findings revealed that the steroidal drugs demonstrated strong binding affinities at the enzyme’s active site, engaging key catalytic residues similar to those targeted by standard anticancer drugs. Additionally, SwissADME was employed to predict the ADME properties and drug-likeness of the steroidal compounds, indicating that they possess favorable pharmacokinetic characteristics for oral administration. Overall, these results suggest that steroidal drugs could act as inhibitors of HMG-CoA reductase, potentially exerting anticancer activity by disrupting cholesterol biosynthesis in rapidly dividing cancer cells. Further in vitro and in vivo studies are necessary to validate these findings and to explore the repositioning of these steroidal drugs within cancer treatment strategies.

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Publication Details

Journal
World Journal of Biology Pharmacy and Health Sciences
Published
2025-07-26
DOI
https://doi.org/10.30574/wjbphs.2025.23.1.0702
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

In silico investigation of the binding interaction between steroidal drugs and HMG CoA reductase for cancer treatment

Blessy Jacob, Vineeth Chandy, Teixeira P.J.P.L
World Journal of Biology Pharmacy and Health Sciences
Computational Drug Discovery Methods
article

In silico investigation of the binding interaction between steroidal drugs and HMG CoA reductase for cancer treatment

Blessy Jacob, Vineeth Chandy, Teixeira P.J.P.L
article en

Abstract

The enzyme 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMG-CoA reductase) serves as the rate-limiting catalyst in cholesterol synthesis and has gained attention as a potential target in cancer therapy due to its involvement in cellular proliferation and survival pathways. In this work, an in silico analysis was conducted to examine the binding interactions of various steroidal drugs with HMG-CoA reductase to assess their anticancer potential. Molecular docking was performed using AutoDock Vina to evaluate binding energies, hydrogen bond formation, and the specific amino acid residues involved in the interactions, providing insights into the stability of the drug-enzyme complexes. The findings revealed that the steroidal drugs demonstrated strong binding affinities at the enzyme’s active site, engaging key catalytic residues similar to those targeted by standard anticancer drugs. Additionally, SwissADME was employed to predict the ADME properties and drug-likeness of the steroidal compounds, indicating that they possess favorable pharmacokinetic characteristics for oral administration. Overall, these results suggest that steroidal drugs could act as inhibitors of HMG-CoA reductase, potentially exerting anticancer activity by disrupting cholesterol biosynthesis in rapidly dividing cancer cells. Further in vitro and in vivo studies are necessary to validate these findings and to explore the repositioning of these steroidal drugs within cancer treatment strategies.

World Journal of Biology Pharmacy and Health SciencesVol. 23(1)
Openalex Percentile: Top 80%
Computational Drug Discovery Methods
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