dc.contributor.advisor | Cheng, Jianlin, 1972- | eng |
dc.contributor.author | Wang, Zheng | eng |
dc.date.issued | 2012 | eng |
dc.date.submitted | 2012 Summer | eng |
dc.description | Title from PDF of title page (University of Missouri--Columbia, viewed on July 30, 2013). | eng |
dc.description | The entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file. | eng |
dc.description | Dissertation advisor: Dr. Jianlin Cheng | eng |
dc.description | Includes bibliographical references. | eng |
dc.description | Vita. | eng |
dc.description | Ph. D. University of Missouri--Columbia 2012. | eng |
dc.description | "July 2012" | eng |
dc.description.abstract | Deoxyribonucleic acid, or DNA, encodes genetic instructions for the functionalities of organisms. For human beings, 23 pairs of chromosomes, containing DNA strands, form a globule structure in the nucleus. This chromosomal conformation influences the subsequent biological processes including transcription and translation by positioning sequentially remote genes spatially close. Chapter 2 reveals human chromosomal conformation and studies gene-gene interactions and “transcription factor binding site” interactions based on chromosomal spatial proximity. Proteins are the biological units that conduct biological functions. The three-dimensional structure of a protein molecule determines its particular functions. Chapters 3 and 4 discuss research in predicting protein tertiary structures. Algorithms that can predict residue-specific qualities of predicted structures were constructed and benchmarked. A knowledge database of soybean transcription factors is presented in Chapter 5, which contains predicted protein tertiary structures. Chapter 6 shows a computer system predicting protein functions using profile-sequence alignment, profile-profile alignment, and protein domain co-occurrence network. A biological process is usually performed by multiple proteins. Biological network provides a global perspective of studying lives, which usually considers the entire set of the same type of biological molecules of the target organism. Chapter 7 introduces a novel biological network, protein Domain Co-occurrence Network (DCN), and demonstrates that DCN has great potentials in inferring species phylogenies and predicting protein functions. | eng |
dc.description.bibref | Includes bibliographical references. | eng |
dc.format.extent | xxii, 214 pages | eng |
dc.identifier.oclc | 872566595 | eng |
dc.identifier.uri | https://doi.org/10.32469/10355/36742 | eng |
dc.identifier.uri | https://hdl.handle.net/10355/36742 | |
dc.language | English | eng |
dc.publisher | University of Missouri--Columbia | eng |
dc.relation.ispartofcommunity | University of Missouri--Columbia. Graduate School. Theses and Dissertations | eng |
dc.rights | OpenAccess. | eng |
dc.rights.license | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License. | |
dc.subject | chromosomal conformation | eng |
dc.subject | chromosomal proximity | eng |
dc.subject | protein tertiary structures | eng |
dc.title | Revealing the conformation and properties of human genome, protein molecules and protein domain co-occurrence network | eng |
dc.type | Thesis | eng |
thesis.degree.discipline | Computer science (MU) | eng |
thesis.degree.grantor | University of Missouri--Columbia | eng |
thesis.degree.level | Doctoral | eng |
thesis.degree.name | Ph. D. | eng |