Tse, Ching Man. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2011. / Includes bibliographical references (p. 188-200). / Abstracts in English and Chinese. / Abstract --- p.i / Acknowledgement --- p.vi / Chapter 1 --- Introduction --- p.1 / Chapter 1.1 --- Obtain information on drug targets --- p.3 / Chapter 1.2 --- Drug Design --- p.5 / Chapter 1.3 --- Interface for interaction --- p.9 / Chapter 1.4 --- Summary --- p.10 / Chapter 2 --- Background Study --- p.12 / Chapter 2.1 --- Protein Function Prediction --- p.16 / Chapter 2.2 --- Drug Design --- p.37 / Chapter 2.3 --- Visualisation and Interaction in Biomedic --- p.44 / Chapter 3 --- Overview --- p.48 / Chapter 3.1 --- Protein prediction using secondary structure analysis --- p.52 / Chapter 3.2 --- Knowledge-driven ligand design --- p.55 / Chapter 3.3 --- Interactive interface in virtual reality --- p.57 / Chapter 4 --- Protein Function Prediction --- p.60 / Chapter 4.1 --- Introduction --- p.61 / Chapter 4.1.1 --- Motivation --- p.61 / Chapter 4.1.2 --- Objective --- p.62 / Chapter 4.1.3 --- Overview --- p.63 / Chapter 4.2 --- Methods and Design --- p.66 / Chapter 4.2.1 --- Feature Cell --- p.68 / Chapter 4.2.2 --- Heterogeneous Vector --- p.71 / Chapter 4.2.3 --- Feature Cell Similarity --- p.75 / Chapter 4.2.4 --- Heterogeneous Vector Similarity --- p.79 / Chapter 4.3 --- Experiments --- p.85 / Chapter 4.3.1 --- Data Preparation --- p.85 / Chapter 4.3.2 --- Experimental Methods --- p.87 / Chapter 4.4 --- Results --- p.97 / Chapter 4.4.1 --- Scalability --- p.97 / Chapter 4.4.2 --- Cluster Quality --- p.99 / Chapter 4.4.3 --- Classification Quality --- p.102 / Chapter 4.5 --- Discussion --- p.103 / Chapter 4.6 --- Conclusion --- p.104 / Chapter 5 --- Drug Design --- p.106 / Chapter 5.1 --- Introduction --- p.107 / Chapter 5.1.1 --- Motivation --- p.107 / Chapter 5.1.2 --- Objective --- p.109 / Chapter 5.1.3 --- Overview --- p.109 / Chapter 5.2 --- Methods --- p.111 / Chapter 5.2.1 --- Fragment Joining --- p.115 / Chapter 5.2.2 --- Genetic Operators --- p.116 / Chapter 5.2.3 --- Post-Processing --- p.124 / Chapter 5.3 --- Experiments --- p.128 / Chapter 5.3.1 --- Data Preparation --- p.129 / Chapter 5.3.2 --- Experimental Methods --- p.132 / Chapter 5.4 --- Results --- p.134 / Chapter 5.4.1 --- Binding Pose --- p.134 / Chapter 5.4.2 --- Free Energy and Molecular Weight --- p.137 / Chapter 5.4.3 --- Execution Time --- p.138 / Chapter 5.4.4 --- Handling Phosphorus --- p.138 / Chapter 5.5 --- Discussions --- p.139 / Chapter 5.6 --- Conclusion --- p.140 / Chapter 6 --- Interface in Virtual Reality --- p.142 / Chapter 6.1 --- Introduction --- p.143 / Chapter 6.1.1 --- Motivation --- p.143 / Chapter 6.1.2 --- Objective --- p.145 / Chapter 6.1.3 --- Overview --- p.145 / Chapter 6.2 --- Methods and Design --- p.146 / Chapter 6.2.1 --- Hybrid Drug Synthesis --- p.147 / Chapter 6.2.2 --- Interactive Interface in Virtual Reality --- p.154 / Chapter 6.3 --- Experiments and Results --- p.171 / Chapter 6.3.1 --- Data Preparation --- p.171 / Chapter 6.3.2 --- Experimental Settings --- p.172 / Chapter 6.3.3 --- Results --- p.173 / Chapter 6.4 --- Discussions --- p.176 / Chapter 6.5 --- Conclusions --- p.179 / Chapter 7 --- Conclusion --- p.180 / A Glossary --- p.184 / Bibliography --- p.188

Mining the human genome for therapeutic target(s) discovery promises novel outcome. Over half of the proteins in the human genome however, remain uncharacterized. These proteins offer a potential for new target(s) discovery for diverse diseases. Additional targets for cancer diagnosis and therapy are urgently needed to help move away from the cytotoxic era to a targeted therapy approach. Bioinformatics and proteomics approaches can be used to characterize novel sequences in the genome database to infer putative function. The hypothesis that the amino acid motifs and proteins domains of the uncharacterized proteins can be used as a starting point to predict putative function of these proteins provided the framework for the research discussed in this dissertation. / Includes bibliography. / Thesis (M.S.)--Florida Atlantic University, 2015. / FAU Electronic Theses and Dissertations Collection