Classification categories of electron transport proteins based on efficient radial basis function networks with position-specific scoring matrices and biochemical properties / 利用RBF網路預測運輸蛋白中的電子傳遞鏈蛋白

碩士 / 元智大學 / 資訊工程學系 / 100 / Electron transport chain is a important part of the biological respiration, it working in the inner member of mitochondrion through the chain of the five protein complexes, the first four complexes transfer electron from a donor complex to an accept complex, and then create hydrogen ion concentration gradient by using the chemicals energy produced by passing electrons to transfer hydrogen to the outer membrane, finally hydrogen ion pass through and lead fifth complex to the synthesis of biologically important energy ATP.Membrane protein separation experiment and anotation is very difficult, so we use machine learning technology to analysis and then classification the protein instead of a complicated experiment.
We analyzed the sequence of electron transport chain by used PSSM as the basic features and extract from the 544 amino acids biochemical property as additional features, and using the RBF network as a classifier.

Identiferoai:union.ndltd.org:TW/100YZU05392021
CreatorsChih-Hung Wang, 王志宏
Contributors歐昱言
Source SetsNational Digital Library of Theses and Dissertations in Taiwan
Languagezh-TW
Detected LanguageEnglish
Type學位論文 ; thesis
Format56

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