Protein Structural Similarity Search Based on Structural Rigidity
碩士 === 慈濟大學 === 醫學資訊學系碩士班 === 101 === Background: Protein structural data has increased rapidly. Therefore, accurate and fast tools are necessary for structure similarity search, which is a time-consuming process. Researchers designed methods to reduce three-dimensional protein structure to one-dime...
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ndltd-TW-101TCU006040082019-07-11T03:42:17Z http://ndltd.ncl.edu.tw/handle/g2x594 Protein Structural Similarity Search Based on Structural Rigidity 利用結構緊密度計算之蛋白質結構相似度搜尋 Jiue-Yu Li 李爵宇 碩士 慈濟大學 醫學資訊學系碩士班 101 Background: Protein structural data has increased rapidly. Therefore, accurate and fast tools are necessary for structure similarity search, which is a time-consuming process. Researchers designed methods to reduce three-dimensional protein structure to one-dimensional text strings to improve the search speed. However, the search accuracy is sacrificed. Consequently, we aim to develop the structure similarity search methodology that has improved accuracy and acceptable search speed. Method: We convert the 3D structure to 1D profile. The profile is based on the Weighted-contact Number Model (WCN). The WCN model calculates the structural rigidity of residues. Our method combines Dynamic Programming (DP) and WCN profile. Results: We developed a novel similarity search method named WSPS for aligning protein three-dimension structure. Our results are comparable to those of brilliant protein search methods. Shao-Wei Huang 黃少偉 2013 學位論文 ; thesis 35 en_US |
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碩士 === 慈濟大學 === 醫學資訊學系碩士班 === 101 === Background: Protein structural data has increased rapidly. Therefore, accurate and fast tools are necessary for structure similarity search, which is a time-consuming process. Researchers designed methods to reduce three-dimensional protein structure to one-dimensional text strings to improve the search speed. However, the search accuracy is sacrificed. Consequently, we aim to develop the structure similarity search methodology that has improved accuracy and acceptable search speed.
Method: We convert the 3D structure to 1D profile. The profile is based on the Weighted-contact Number Model (WCN). The WCN model calculates the structural rigidity of residues. Our method combines Dynamic Programming (DP) and WCN profile.
Results: We developed a novel similarity search method named WSPS for aligning protein three-dimension structure. Our results are comparable to those of brilliant protein search methods.
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Shao-Wei Huang |
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Shao-Wei Huang Jiue-Yu Li 李爵宇 |
author |
Jiue-Yu Li 李爵宇 |
spellingShingle |
Jiue-Yu Li 李爵宇 Protein Structural Similarity Search Based on Structural Rigidity |
author_sort |
Jiue-Yu Li |
title |
Protein Structural Similarity Search Based on Structural Rigidity |
title_short |
Protein Structural Similarity Search Based on Structural Rigidity |
title_full |
Protein Structural Similarity Search Based on Structural Rigidity |
title_fullStr |
Protein Structural Similarity Search Based on Structural Rigidity |
title_full_unstemmed |
Protein Structural Similarity Search Based on Structural Rigidity |
title_sort |
protein structural similarity search based on structural rigidity |
publishDate |
2013 |
url |
http://ndltd.ncl.edu.tw/handle/g2x594 |
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