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Exploring Anticancer Potential in Bajakah Tampala by In Silico Virtual Screening

2022; Knowledge E; Linguagem: Inglês

10.18502/kls.v7i5.12517

2413-0877

Maya Tejasari, Titik Respati, Lelly Yuniarti,

Computational Drug Discovery Methods

Incidences of cancer have increased sharply throughout the world. The process of finding a targeted cancer drug takes a long time and a lot of money. One method that can help overcome this is computational methods, such as virtual screening. It can be an important alternative in early-stage drug discovery. The aim of this study is to explore and analyze the potential protein targets of Bajakah tampala (Spatholobulus littoralis) as an anticancer chemotherapy. This is a bioinformatics study that uses the in silico method through the pathway analysis method with PubChem software, Swiss Target prediction, String and Cytoscope. The results showed that many phytochemicals present in Spatholobulus littoralis Hask are predicted to be anticancer. Keywords: Anticancer, Bajakah tampala, In silico, Spatholobulus littoralis