Doctor of Philosophy (Ph.D.), Bowling Green State University, 2015, Biological Sciences
RNA has emerged as a versatile and multi-faceted player in gene expression and the informational metabolism of living cells. RNA molecules can function by virtue of their sequences, storing or transmitting genetic information, as well as by forming complex three-dimensional (3D) structures that can bind specifically to proteins, small molecules or other RNA or DNA molecules to carry out diverse recognition functions, including chemical catalysis. In fact, large RNA-based molecular machines, like the ribosome and spliceosome, are now known to be RNA enzymes or “ribozymes” that rely on complex RNA 3D structure to sequentially bind and release their macro-molecular substrates and co-factors. As a result of revolutions in RNA 3D structure determination and high-throughput DNA and RNA sequencing, on-line databases are brimming with new structure and sequence data. The large amounts of new data are creating new challenges in data management, curation, search, visualization, and access. For example ribosomes have been solved in many different functional states, with tRNAs variously bound to the A-, P-, or E-sites, or associated with different translation factors (i.e. initiation, elongation, termination or recycling factors) or antibiotics. Bound tRNAs may be cognate, near cognate or non-cognate to the bound mRNA codon sequences present at the A-, P- or E-sites of the ribosome. Detailed and accurate functional annotations are needed to enable focused database searches for specific states and bound ligands and to uncover new relationships regarding structure, function, and evolution of RNA molecules and their complexes. As large numbers of new structures are accumulating in databases faster than they can be manually annotated, automated annotation procedures need to be developed and deployed by databases such as the Nucleic Acid Database (NDB). In addition to annotation of individual structures, related structures must be identified, compared and clustered, and representat (open full item for complete abstract)
Committee: Neocles Leontis Ph.D. (Advisor); R. Marshall Wilson Ph.D. (Other); Craig Zirbel Ph.D. (Committee Member); Carol Heckman Ph.D. (Committee Member); George Bullerjahn Ph.D. (Committee Member)
Subjects: Biology