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Recently, machine learning techniques have become an indispensable alternative for computational studies of cancers and efficient prediction of cancer-drug responses or drug resistance levels. Meanwhile, in cancer characterization, molecular dynamics (MD) simulations can greatly reveal the dynamic and functional features of cancer-related proteins. In our work, MD simulations were implemented to extract...
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