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臺灣博碩士論文加值系統

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研究生:陳春吟
研究生(外文):Chun-Yin Chen
論文名稱:利用多重序列比對結果來搜尋蛋白質中與功能/結構相關的殘基
論文名稱(外文):Finding function/structure relevant residues in proteins from mulitple sequence alignment
指導教授:呂平江黃鎮剛
指導教授(外文):Ping-Chiang LyuJenn-Kang Hwang
學位類別:碩士
校院名稱:國立清華大學
系所名稱:生命科學系
學門:生命科學學門
學類:生物學類
論文種類:學術論文
論文出版年:2002
畢業學年度:90
語文別:英文
中文關鍵詞:多重序列比對相對熵蛋白激酶功能結構殘基
外文關鍵詞:multiple sequence alignmentrelative entropyPDZ domainSH3 domainprotein kinase
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分析某種蛋白質中可能與功能或結構相關的胺基酸將有助於我們了解此種蛋白質的功能與定義蛋白質的核心結構,以及用來預測未知蛋白質的功能。在此,我們藉由分析同類蛋白質之多重序列比對 (multiple sequence alignment) 結果,並在此蛋白質中選定一參考殘基 (residue),此殘基通常為已知與功能或結構相關的重要位置,接著計算此蛋白質中各個殘基的相對熵 (relative entropy) 值,再由相對熵值的分佈來判斷某殘基是否為穩定結構相關位置或與功能相關的位置。在此篇論文中所使用的蛋白質分類則是依據SCOP的蛋白質摺疊 (fold) 分類法,我們選擇了三類蛋白質,分別為PDZ domain、SH3 domain、和蛋白激酶; (protein kinase)。利用相對熵分析方法,我們找到已知在功能或結構上扮演重要角色的殘基,還有一些功能尚不明確的殘基,而這些功能不明確的殘基則可能在穩定結構方面有重要的作用。同時此分析方法,亦能找到幾個並非為高度保留 (conserved) 位置但具與結合受質有關的殘基。本論文的結果表示相對熵方法是一用來搜尋蛋白質中重要殘基相當不錯的分析工具。

Analysis of functiona/structure relevant residues in proteins can lead to the prediction of new functions of proteins and identify the core structure of proteins. To this end, we calculate the relative entropy from the multiple sequence alignments of the sequences with the same SCOP fold classification, PDZ domain-like, SH3 domain-like, and protein kinase-like. With this method, we identify some relevant residues that have been known important in function or in structure and also find some residues possibly important in stabilizing structure that help the key residues bind to the ligand. Our work shows that relative entropy is a useful measure for analyzing the relevant residues in proteins even though the positions are not highly conserved.

Abstract
中文摘要
致謝辭
Introduction
The examples in our work
Method
Result
Discussion & Conclusion
Figures
Tables
AppendixI
AppendixII
References

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