A Study for Protein Structural Comparison Algorithms- A New Approach for Rough structural Comparison

碩士 === 國立臺灣大學 === 資訊工程學研究所 === 93 === We introduce the protein structure comparison in our thesis. Its two-staged based protein structure comparison. At first-stage, we utilize one feature for structure comparison. The feature means the more important and interesting segment of amino acids. That’s S...

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Bibliographic Details
Main Authors: Jia-Nan Wang, 王佳南
Other Authors: 歐陽彥正
Format: Others
Language:zh-TW
Published: 2005
Online Access:http://ndltd.ncl.edu.tw/handle/81868399768955565229
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Summary:碩士 === 國立臺灣大學 === 資訊工程學研究所 === 93 === We introduce the protein structure comparison in our thesis. Its two-staged based protein structure comparison. At first-stage, we utilize one feature for structure comparison. The feature means the more important and interesting segment of amino acids. That’s SSE. And we use SSE to be the pivot of alignment at first stage. FLASH used SSE also. FLASH oversimplified the SSE, because of using vector to represent SSE. For the sake of no oversimplified SSE, we use ellipsoidal to represent SSE which ellipsoidal representation is from the thesis of Chan-Ian. The disadvantage of using SSE to be pivot is too many alignment pairs. So the objective of our proposed PSC wants to analysis the information of protein. By the information of protein, we hope reduce the number of alignment pairs. Except the angle-distance geometric information, we utilize the non geometric information, such as mass, and biochemical information. And we use the information not only from SSE but also from coils. Except we got the good experiment result as ProSup and FLASH, we found out that the information of non geometric of SSE and Coils are useful. By the utilization of the information, we can get good global alignment. Using SSE to be pivot of alignment hints that our proposed PSC has the ability of local alignment.