Prediction of Enzyme Class
碩士 === 國立交通大學 === 生物資訊研究所 === 94 === Enzymes, as a subclass of catalysts, can be separated into six parts since they have different chemical reactions and protein functions. Methods for predicting protein function from structure are becoming more important than experimental knowledge. In this study,...
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| Format: | Others |
| Language: | en_US |
| Published: |
2006
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| Online Access: | http://ndltd.ncl.edu.tw/handle/24365142484116959832 |
| Summary: | 碩士 === 國立交通大學 === 生物資訊研究所 === 94 === Enzymes, as a subclass of catalysts, can be separated into six parts since they have different chemical reactions and protein functions. Methods for predicting protein function from structure are becoming more important than experimental knowledge. In this study, we describe some coding schemes which include both sequence-based and structure-based protein information. We predict the enzyme class for different coding schemes with 2 methods; one is the 2-level SVM model method, one is the Huffman tree model method which is described in this study. This Huffman tree model using support vector machine (SVM) is provided to predict the enzyme classification from the unknown- function enzymes. By comparing with these methods, Huffman tree model is demonstrated useful on enzyme class predicting since we can obtain unbiased and the best prediction accuracy of 36% using the Huffman tree model.
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