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Drug resistance has become a serious problem during drug development and discovery.During the past decade,computational methods have been deeply researched for target mutation-induced drug resistance prediction.The first one is the machine learning model constructed on the basis of the sequence data of various drug-resistant mutants.The second one is the structure-based drug resistance prediction,in which molecular docking or molecular dynamic simulations are carried out.