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...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2007
|
Online Access: | http://ndltd.ncl.edu.tw/handle/41899435769233371409 |
id |
ndltd-TW-095CHPI0392023 |
---|---|
record_format |
oai_dc |
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 |
collection |
NDLTD |
language |
en_US |
format |
Others
|
sources |
NDLTD |
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 |
work_keys_str_mv |
AT chihweiliu predictproteinproteininteractionsandproteinquaternarystructure AT liúzhìwěi predictproteinproteininteractionsandproteinquaternarystructure AT chihweiliu yùcèdànbáizhìzhījiāndejiāohùzuòyòngyǔdànbáizhìsìjíjiégòu AT liúzhìwěi yùcèdànbáizhìzhījiāndejiāohùzuòyòngyǔdànbáizhìsìjíjiégòu |
_version_ |
1718277573598773248 |