In Silico Approach of Sour Soup Leaf for Prediction of Anticancer Molecular Target Therapy
Miranti Kania Dewi, Yuktiana Kharisma, Lelly Yuniarti
Medical Faculty of Universitas Islam Bandung
Abstract
Introduction: Breast cancer is the most common cancer in women. The incidence of breast cancer has increased sharply throughout the world. In 2012, 1.7 million women were diagnosed with breast cancer, and in the last 5 years there were 6.3 million women diagnosed with breast cancer. The successful rate of standard therapies for breast cancer is currently not optimally achieved, the side effects of breast cancer treatment have also not been overcome, and resistance frequently occurs. The aim of this study are to analysis the potential and protein target of sour soup leaf as breast cancer chemotherapy. Method: This research is bioinformatics study uses the in silico method using the pathway analysis method with Pubchem software, Swiss Target prediction, String and Cytoscope. Result: The result show that of many phytochemical present in soursoup leaf , several phytochemical compound are predicted to act apoptotic, inhibit proliferations, metastasis, and angiogenesis. Conclusion: The conclusion is in silico analysis that soursop leaves component have anticancer activity.
Keywords: Soursop leaves, breast cancer, In silico, Target Therapy
Topic: Drug Discoveries and Development