Computational Analysis of Phytocompounds of Curcuma caesia (black turmeric) against CFLAR Protein Expressed in Lung cancer


Authors : Chandra Sekhar Tripathy

Volume/Issue : Volume 7 - 2022, Issue 5 - May

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3xvaahI

DOI : https://doi.org/10.5281/zenodo.6658851

Lung cancer is a cancer that starts in the lungs and spreads throughout the body. The lungs are two spongy organs in the chest that take in oxygen and release carbon dioxide as we inhale and exhale. Lung cancer is the most common cancer that kills people around the world. Lung cancer is most common in smokers, although it can also strike persons who have never smoked. The amount of time and number of cigarettes you smoke raises your risk of lung cancer. However, physiologically the protein CFLAR (CASP8 and FADD-like apoptosis regulator) is found to be widely associated with lung cancer and is also over expressed. Curcuma caesia is an herbal plant with lots of known medicinal properties. Curcuma caesia has 50 known phyto-compounds (PCs). In the present investigation all the 50 PCs have been put to in silico processes including docking analysis to find out the PCs that best stop over-expression of the CFLAR protein in Lung cancer. Tau-Cadinol and Delta-Cadinene are found to be champion molecules of this plant against Lung cancer.

Keywords : CFLAR, Lung cancer , docking , in silico ,Curcuma caesia

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