Prediction and Modeling of the Structure of 16S rRNA
| dc.contributor.advisor | Paul Agris, Committee Member | en_US |
| dc.contributor.advisor | Stu Maxwell, Committee Member | en_US |
| dc.contributor.advisor | Paul Wollenzien, Committee Chair | en_US |
| dc.contributor.advisor | James Brown, Committee Member | en_US |
| dc.contributor.author | Fanning, Patricia Babin | en_US |
| dc.date.accessioned | 2010-04-02T19:00:58Z | |
| dc.date.available | 2010-04-02T19:00:58Z | |
| dc.date.issued | 2005-11-29 | en_US |
| dc.degree.discipline | Biochemistry | en_US |
| dc.degree.level | dissertation | en_US |
| dc.degree.name | PhD | en_US |
| dc.description.abstract | The ribosome is a complex macromolecule responsible for the translation of genetic information into proteins. Experimental data has provided clear evidence that the ribosome undergoes conformational changes during the process of translation. The size of the ribosome coupled with its dynamic nature has made it difficult to determine the detailed structure of the ribosome using traditional structural analysis techniques (e.g. NMR or crystallography). Recently, crystal structures of the ribosome of several organisms have been determined. The crystal structures are consistent with ~90% of the data obtained experimentally. The areas of the crystal structure of the ribosome which are inconsistent with experimental data are concentrated primarily in the areas of the ribosome known to be actively involved in the process of translation. The computational techniques utilized in this project provide an alternative method for generating structures that are consistent with all the experimental data. In the first phase of the project, MC-SYM, a constraint satisfaction algorithm, was used to generate detailed three-dimensional models for two regions in the RNA portion of the small subunit of the ribosome known to be actively involved in translation: 921- 930/1387-1396 and 1399-1410/1490-1504. The models generated are consistent with the predicted secondary structure, chemical reactivity data, mutagenesis data and crosslinking data. The second phase of the project used statistical methods to identify the highest probability base triples in the small subunit of the ribosome. The most likely candidates for base triples in the ribosome were identified as base triples involving the single stranded nucleotide 121and the 124:237 or the 125:236 base pair. Isomorphic modeling using the algorithm ISOPAIR indicated that a base triple consisting of an interaction between 121 and the 124:237 was the most likely to produce an isomorphic structure for the most frequently occurring sequences for this region. MC-SYM was used then used to construct a model for the 122-127/234-239 base paired region that included a base triple interaction between the single stranded nucleotide 121 and the 124:237 base pair. | en_US |
| dc.identifier.other | etd-11282005-134233 | en_US |
| dc.identifier.uri | http://www.lib.ncsu.edu/resolver/1840.16/4779 | |
| dc.rights | I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to NC State University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report. | en_US |
| dc.subject | antibiotic binding to the ribosome | en_US |
| dc.subject | RNA structure | en_US |
| dc.subject | computer modeling | en_US |
| dc.subject | mutagenesis | en_US |
| dc.subject | bioinformatics | en_US |
| dc.subject | molecular biology | en_US |
| dc.title | Prediction and Modeling of the Structure of 16S rRNA | en_US |
Files
Original bundle
1 - 1 of 1
