Abstract

Lung cancer is a major global public health issue and the leading cause of cancer-related deaths. Several medications are commonly used to treat lung cancer, either alone or in combination with other treatments. The anaplastic lymphoma kinase (ALK) protein is one of several target proteins that are thought to be potential therapeutic targets in the context of lung cancer. Several ALK inhibitors have been identified, but many of these have been associated with side effects and toxicity concerns. In this study, we intend to computationally predict the binding potential of cucurbitacins (CBNs), A and B to the active pockets of ALK, in order to estimate their potential ALK inhibitors. Compared to CBN-A, which has a binding energy of −7.9 kcal/mol, CBN B exhibits significantly better binding efficacy with a binding energy of −8.1 kcal/mol. This is closely comparable to the binding energy of Crizotinib, which is −8.2 kcal/mol. The results of the molecular dynamics simulation indicated that the docked complexes remained stable for the duration of the 100 ns simulation period. CBN inhibited the proliferation of both non-small cell lung cancer cell lines, H1299 and A549, in a dose-dependent manner. CBN-B inhibited the proliferation of lung cancer cells, showing IC50 values of 0.08 µM for H1299 cells and 0.10 µM for A549 cells. The computational analyses provide strong evidence that CBN-B has the potential to act as a potent natural inhibitor against ALK, and could prove to be a valuable treatment option for lung cancer. Communicated by Ramaswamy H. Sarma

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