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The analysis of protein sequences: statistical modeling for short structural motifs. / Statistical modeling for short structural motifs

by Sze-wan Man. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1997. / Includes bibliographical references (leaves 41-42). / Chapter Chapter 1 --- Introduction --- p.1 / Chapter Chapter 2 --- The probability model --- p.8 / Chapter 2.1 --- Introduction --- p.8 / Chapter 2.2 --- The coding system --- p.11 / Chapter 2.3 --- The likelihood estimates of hexamer codes --- p.13 / Chapter 2.4 --- A cross validation study --- p.15 / Chapter Chapter 3 --- An application of the likelihood ratio --- p.21 / Chapter 3.1 --- Introduction --- p.21 / Chapter 3.2 --- The Needleman-Wunsch algorithm --- p.21 / Chapter 3.2.1 --- Background --- p.21 / Chapter 3.2.2 --- The principle of the algorithm --- p.21 / Chapter 3.2.3 --- The algorithm --- p.23 / Chapter 3.3 --- Application of the structural information --- p.25 / Chapter 3.3.1 --- Basic idea --- p.25 / Chapter 3.3.2 --- Comparison between pairs of hexamer sequences --- p.25 / Chapter 3.3.3 --- The score of similarity of a pair of hexamer sequences --- p.26 / Chapter Chapter 4 --- Application of the modified Needleman-Wunsch algorithm --- p.27 / Chapter 4.1 --- The structurally homologous pair --- p.27 / Chapter 4.1.1 --- The horse hemoglobin beta chain --- p.28 / Chapter 4.1.2 --- The antartic fish hemoglobin beta chain --- p.29 / Chapter 4.2 --- Other proteins --- p.31 / Chapter 4.2.1 --- The acetylchoinesterase --- p.31 / Chapter 4.2.2 --- The lipase --- p.32 / Chapter 4.2.3 --- The two A and D chains of the deoxyribonuclease --- p.33 / Chapter 4.3 --- Evaluation of the significance of the maximum match --- p.36 / Chapter Chapter 5 --- Conclusion and discussion --- p.38 / References --- p.41 / Tables --- p.43

Identiferoai:union.ndltd.org:cuhk.edu.hk/oai:cuhk-dr:cuhk_321958
Date January 1997
ContributorsMan, Sze-wan., Chinese University of Hong Kong Graduate School. Division of Statistics.
Source SetsThe Chinese University of Hong Kong
LanguageEnglish
Detected LanguageEnglish
TypeText, bibliography
Formatprint, 52 leaves : col. ill. ; 30 cm.
RightsUse of this resource is governed by the terms and conditions of the Creative Commons “Attribution-NonCommercial-NoDerivatives 4.0 International” License (http://creativecommons.org/licenses/by-nc-nd/4.0/)

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