This paper discusses the historical changes of China’s dream with an analysis of the methodological China that has provided China both flexibility in its imitations of the Western modernization and the potential abil...This paper discusses the historical changes of China’s dream with an analysis of the methodological China that has provided China both flexibility in its imitations of the Western modernization and the potential ability to participate in the innovations of new rules of the global game.The author believes that the methodological China is a better concept to understand China as it always goes.展开更多
Choosing an effective classification and recognition method in a large protein database plays a crucial role in the classification of enzymes.In previous studies on enzyme classification,only node characteristic infor...Choosing an effective classification and recognition method in a large protein database plays a crucial role in the classification of enzymes.In previous studies on enzyme classification,only node characteristic information of amino acid were generally considered in the process of model training.The characteristics of amino acid nodes and topological structure in enzyme protein structure are proposed in this paper.The model was trained by graph neural network.By comparing with K nearest neighbor,support vector machine,random forest and multi-layer perceptron,it is shown that the graph neural network method has great advantages.The accuracy obtained by graph neural network is obviously higher than others.展开更多
文摘This paper discusses the historical changes of China’s dream with an analysis of the methodological China that has provided China both flexibility in its imitations of the Western modernization and the potential ability to participate in the innovations of new rules of the global game.The author believes that the methodological China is a better concept to understand China as it always goes.
基金Supported by the Scientific Research Fund of Liaoning Provincial Education Department(L2019048)Talent Scientific Research Fund of LSHU(2016XJJ-033)of China。
文摘Choosing an effective classification and recognition method in a large protein database plays a crucial role in the classification of enzymes.In previous studies on enzyme classification,only node characteristic information of amino acid were generally considered in the process of model training.The characteristics of amino acid nodes and topological structure in enzyme protein structure are proposed in this paper.The model was trained by graph neural network.By comparing with K nearest neighbor,support vector machine,random forest and multi-layer perceptron,it is shown that the graph neural network method has great advantages.The accuracy obtained by graph neural network is obviously higher than others.
