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Method for predicting dynamic protein function including subcellular localization of protein under stressful conditions
Method for predicting dynamic protein function including subcellular localization of protein under stressful conditions
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机译:预测动态蛋白质功能的方法,包括在压力条件下蛋白质的亚细胞定位
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摘要
PURPOSE: A method for predicting a dynamic protein function including the subcellular localization of protein is provided to predict the subcellular location of the protein under stressful conditions by inputting the information of target protein and neighboring protein into a network. CONSTITUTION: A static feature is generated by inputting the static characteristic of target protein(S110). A static network is generated by inputting the interaction information of static protein(S120). A network feature is generated by applying the static characteristic of the target protein and neighboring protein to the static network(S130). A location-feature model is generated by using the static feature and the network feature(S140). A dynamic network is generated(S160). A protein feature is generated by applying the static characteristic and the location information of the target protein to the dynamic network(S170). The location of the target protein is predicted based on the protein feature and the location-feature model(S180).
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