摘要
The mutual information function is used to describe the auto-correlation of amino acids in protein. We find two interesting phenomenon: (1) for any given big protein, the mutual information function I(k) is almost a const, where k is the length of gap. (2) for any two sequence similar proteins, the mutual information are nearly the same. As a consequent, we may use mutual information of protein as a character for sequences comparison.
The mutual information function is used to describe the auto-correlation of amino acids in protein. We find two interesting phenomenon: (1) for any given big protein, the mutual information function I(k) is almost a const, where k is the length of gap. (2) for any two sequence similar proteins, the mutual information are nearly the same. As a consequent, we may use mutual information of protein as a character for sequences comparison.
作者
Shi Feng, Huang Jing, Li Yuan-xiang, Zhou Huai-beiSchool of Mathematics and Statistics, Wuhan University, Wuhan 430072, Hubei, ChinaAdvanced Research Center for Science & Technology, Wuhan University, Wuhan 430072, Hubei, ChinaState Key Laboratory of Software Engineer, Wuhan University, Wuhan 430072,Hubei, China
基金
Supported by the National Natural Science Foundation of China(30170214)
