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

Wong Ka Shing = 兩個二級蛋白質結構組中的氨基酸序列的統計特性 / 黃嘉誠. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2004. / Includes bibliographical references (leaves 88-91). / Text in English; abstracts in English and Chinese. / Wong Ka Shing = Liang ge er ji dan bai zhi jie gou zu zhong de an ji suan xu lie de tong ji te xing / Huang Jiacheng. / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Predicting tertiary structures of proteins --- p.2 / Chapter 1.2 --- Introduction to secondary structures of protein --- p.5 / Chapter 1.3 --- Prediction of secondary structural classes --- p.9 / Chapter 1.3.1 --- Multi-dimensional space representation --- p.10 / Chapter 2 --- Method of analysis --- p.12 / Chapter 2.1 --- Data sets --- p.12 / Chapter 2.2 --- Basic statistics of the data sets --- p.13 / Chapter 2.3 --- Method of analysis --- p.17 / Chapter 2.4 --- An interesting sum rule --- p.20 / Chapter 3 --- Results of analysis of C-words --- p.22 / Chapter 3.1 --- A first insight --- p.22 / Chapter 3.2 --- Distributions of 〈C(j)〉 --- p.24 / Chapter 3.2.1 --- "Comparing distributions for different m, s and secondary structural classes" --- p.29 / Chapter 3.3 --- Features of each secondary structural class --- p.33 / Chapter 3.3.1 --- C-words with the largest or the smallest values of 〈C(j)〉 in the all-a class --- p.33 / Chapter 3.3.2 --- C-words with the largest or the smallest values of 〈C(j)〉 in the all-β class --- p.35 / Chapter 4 --- Results of analysis of H-words --- p.37 / Chapter 4.1 --- 〈C(j)〉 for each H-word --- p.38 / Chapter 4.1.1 --- "When m increases, 〈C(j)〉 deviates more from 1" --- p.39 / Chapter 4.1.2 --- "When spacing parameter s is small, 〈C(j)〉 deviates more from 1" --- p.40 / Chapter 4.2 --- The mean over all possible H-words --- p.41 / Chapter 4.3 --- Comparing 〈C(j)〉 of different H-words --- p.43 / Chapter 4.3.1 --- A few plots --- p.43 / Chapter 4.3.2 --- Results --- p.44 / Chapter 4.4 --- Features of each secondary structural class --- p.47 / Chapter 4.4.1 --- A first insight --- p.47 / Chapter 4.4.2 --- The H-words with the largest values of 〈C(j)〉 in the all-α class with particular number of letter m --- p.54 / Chapter 4.4.3 --- The H-words with the smallest values of 〈C(j) in the all-α class with particular number of letter m --- p.57 / Chapter 4.4.4 --- The H-words with the largest values of 〈C(j) in the all-β class with particular number of letter m --- p.60 / Chapter 4.4.5 --- The H-words with the smallest values of 〈C(j) in the all-β class with particular number of letter m --- p.63 / Chapter 4.4.6 --- A summary --- p.66 / Chapter 4.5 --- Possible indicators to predict secondary structural class --- p.67 / Chapter 4.5.1 --- H-words with the largest values of --- p.68 / Chapter 4.5.2 --- H-words with the largest magnitude of --- p.71 / Chapter 4.5.3 --- Discussion --- p.71 / Chapter 5 --- Prediction using patterns found in H-words --- p.72 / Chapter 6 --- Conclusion --- p.86 / Bibliography --- p.88