Main Article Content

Muthia Nur Akifah
Dandy Satria Damara
Indah Syah Putri
Marshah Rahmawati Utami

Page: 2329-2338

Abstract

Breast cancer is a type of cancer with a high prevalence rate, especially in women, which contributes significantly to the global death rate from cancer. This disease is characterized by abnormal cell growth that attacks body tissues and is often difficult to treat due to the limitations of effective treatment and minimal side effects. Although treatments such as chemotherapy, surgery, and radiation therapy are available, significant side effects, including impaired patients' quality of life, remain a major challenge. Therefore, a new approach is needed to find drug candidates with high efficacy and lower side effects.  This study aims to compare the activity of chemical compounds that have the potential to be used as a breast cancer drug using the in silico method. The method involves computer simulations to evaluate molecular interactions with cancer receptors, such as ER-α and HER-2, as well as verify their pharmacokinetic feasibility through compliance with Lipinski's rules. This review literature draws on eight relevant recent studies, showing that some compounds have significant activity against cancer receptors and meet pharmacokinetic criteria for oral administration. The results of the analysis revealed that Longipinocarvone compounds had the best affinity for ER-α receptors (-8.20 kcal/mol), while Galagin showed the best affinity for HER-2 (-7.79 kcal/mol). Both also meet Lipinski's rule, indicating the potential to be developed into an oral drug. This in silico simulation provides efficient and cost-effective initial insight into the drug discovery process. The study concluded that both compounds have the potential to be promising breast cancer drug candidates, although further validation through in vitro and in vivo trials is needed to support these results.

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How to Cite
Akifah, M. N., Damara , D. S., Putri , I. S., & Utami , M. R. (2025). Literature Review: Comparison of Activity of Chemical Compounds with Potential as Oral Breast Cancer Drug Candidates Using the In Silico Method. Journal of Pharmaceutical and Sciences, 8(4), 2329–2338. https://doi.org/10.36490/journal-jps.com.v8i4.679
Section
Review Article

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