Predict Protein-protein interactions and protein quaternary structure

碩士 === 中華大學 === 資訊工程學系碩士班 === 95 === In the research of protein, the proteins’ interaction is important. New drug can be discovered by finding the intartcion sites in a protein. Therefore, it’s important to develop an efficient method for predicting interaction sites. Docking result between two prot...

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Main Authors: Chih-Wei Liu, 劉智偉
Other Authors: Wen-Lung Hsu
Format: Others
Language:en_US
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/41899435769233371409
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spelling ndltd-TW-095CHPI03920232016-05-23T04:17:22Z http://ndltd.ncl.edu.tw/handle/41899435769233371409 Predict Protein-protein interactions and protein quaternary structure 預測蛋白質之間的交互作用與蛋白質四級結構 Chih-Wei Liu 劉智偉 碩士 中華大學 資訊工程學系碩士班 95 In the research of protein, the proteins’ interaction is important. New drug can be discovered by finding the intartcion sites in a protein. Therefore, it’s important to develop an efficient method for predicting interaction sites. Docking result between two proteins has great contribution in the computer aided drug discovery. Protein sequence and its secondary structure are used to build a mathematical model which is trained by a protein dataset. This model can further be used to predict protein interaction sites. All protein data files are retrieved from Protein Data Bank (PDB). The accuracy of this approach can reach to 80%. In order to decrease dock angle size and increase time complexity, source codes of FTDock and RPDock are modified by using genetic algorithm. The mathematical model developed in this dissertation can be treated as fitness function. This approach can readily be used to replace MultiDock. Wen-Lung Hsu 許文龍 2007 學位論文 ; thesis 0 en_US
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language en_US
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description 碩士 === 中華大學 === 資訊工程學系碩士班 === 95 === In the research of protein, the proteins’ interaction is important. New drug can be discovered by finding the intartcion sites in a protein. Therefore, it’s important to develop an efficient method for predicting interaction sites. Docking result between two proteins has great contribution in the computer aided drug discovery. Protein sequence and its secondary structure are used to build a mathematical model which is trained by a protein dataset. This model can further be used to predict protein interaction sites. All protein data files are retrieved from Protein Data Bank (PDB). The accuracy of this approach can reach to 80%. In order to decrease dock angle size and increase time complexity, source codes of FTDock and RPDock are modified by using genetic algorithm. The mathematical model developed in this dissertation can be treated as fitness function. This approach can readily be used to replace MultiDock.
author2 Wen-Lung Hsu
author_facet Wen-Lung Hsu
Chih-Wei Liu
劉智偉
author Chih-Wei Liu
劉智偉
spellingShingle Chih-Wei Liu
劉智偉
Predict Protein-protein interactions and protein quaternary structure
author_sort Chih-Wei Liu
title Predict Protein-protein interactions and protein quaternary structure
title_short Predict Protein-protein interactions and protein quaternary structure
title_full Predict Protein-protein interactions and protein quaternary structure
title_fullStr Predict Protein-protein interactions and protein quaternary structure
title_full_unstemmed Predict Protein-protein interactions and protein quaternary structure
title_sort predict protein-protein interactions and protein quaternary structure
publishDate 2007
url http://ndltd.ncl.edu.tw/handle/41899435769233371409
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