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Rosmarinic Acid from Orthosiphon aristatus Potentially Targets Estrogen Receptor-Alpha in Breast Cancer: In-silico Study Qurrotaayun, Ghina Alya Putri; Sitompul, Joy Elizabeth Nauli; Fadhilah, Naya; Pramudita, Fransisca Widi; Putri, Nazwa Septiriana; Muljono, Fajar Oktavian; Fardhan, Firghi Muhammad; Novitasari, Dhania
Indonesian Journal of Cancer Chemoprevention Vol 15, No 2 (2024)
Publisher : Indonesian Society for Cancer Chemoprevention

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14499/indonesianjcanchemoprev15iss2pp150-161

Abstract

Breast cancer is the most common cancer among women. Tamoxifen, a widely used estrogen receptor-alpha (ER-α) inhibitor, is effective but often causes side effects, necessitating the search for alternative inhibitors from natural sources. Ortosiphon aristatus, also known as cat's whiskers, is a medicinal plant traditionally valued for its anti-inflammatory and antioxidant properties. Recent studies suggest its bioactive compounds may exhibit anticancer activity by inducing apoptosis in cancer cell lines. This study explores the potential of O. aristatus metabolites as ER-α inhibitors using computational approaches. Nine metabolites were assessed for their physicochemical properties based on Lipinski’s rule of five and ADMET predictions, followed by pharmacophore-based virtual screening with LigandScout and molecular docking with AutoDock. The results showed that all tested compounds complied with Lipinski’s rule, and most met ADMET criteria. Among these, rosmarinic acid was identified as one of the hit compounds based on pharmacophore screening, exhibiting binding interactions comparable to 4-hydroxytamoxifen with the ER-α amino acid residues HIS524 and GLY521. It also demonstrated a binding energy of -8.02 kcal/mol and a low inhibition constant (Ki) of 1.31 μM. These findings highlight the potential of O. aristatus and rosmarinic acid for further evaluation as candidates against ER-α in breast cancer cells.Keywords: breast cancer, estrogen receptor-alpha, Orthosiphon aristatus, in silico.
Optimizing diabetic retinopathy therapy with precision medicine: Can we do that in Indonesia? Putri, Nazwa Septiriana; Barliana, Melisa Intan
Public Health Risk Assesment Journal Vol. 3 No. 1: July (2025)
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/phraj.v3i1.2025.1840

Abstract

Background: Diabetes is one of the most common diseases in the world, including in Indonesia. High blood sugar levels in diabetics can cause various complications, one of which is diabetic retinopathy. The treatment used in diabetic retinopathy does not fully provide the desired therapeutic effect in all patients. Therefore, a study was conducted on the prescription drug approach to optimize diabetic retinopathy therapy. Methods: This article was prepared using the literature review method by collecting and analyzing relevant literature sources. Findings: This study reveals that diabetic retinopathy is a complication of diabetes whose development can be influenced by genetic and environmental factors of the patient. Precision medicine can be applied in determining the best therapy for diabetic retinopathy by analyzing the clinical condition history, molecular and biochemical biomarkers of patients using artificial intelligence or machine learning. Conclusion: optimization of diabetic retinopathy therapy can be done with a precision medicine approach by analyzing genetic factors and patient environmental factors. However, there are still some challenges in its application in Indonesia. Novelty/Originality of this article: analysis of the application of precision medicine to provide the best therapy for patients in Indonesia.