A self-resistance guided approach to the discovery of novel antibiotics
Abstract/Contents
- Abstract
- Due to the rise in antibiotic resistance among common pathogens, there is a clear and growing need for novel antibiotics that might bypass existing resistance or breath new life into old drugs. Traditional methods of antibiotic drug discovery have increasingly failed due to rediscovery of old antibiotics. In this dissertation, we first review many of the current strategies towards antibiotic drug discovery and explore emerging tools in this area. We then leverage one of these tools, self-resistance guided genome mining, in combination with an in-house list of polyketide synthase containing biosynthetic gene clusters. Using this approach, we are able to identify and characterize a novel antibiotic from a source that has not traditionally been considered a major source of useful natural products. In doing so, we not only provide a new molecule to aid in the fight against growing drug resistance, but provide validation for the utility of self-resistance guided genome mining as a tool in this effort.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2022; ©2022 |
| Publication date | 2022; 2022 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Privalsky, Thomas Mark |
|---|---|
| Degree supervisor | Khosla, Chaitan, 1964- |
| Thesis advisor | Khosla, Chaitan, 1964- |
| Thesis advisor | Du Bois, Justin |
| Thesis advisor | Wandless, Thomas |
| Degree committee member | Du Bois, Justin |
| Degree committee member | Wandless, Thomas |
| Associated with | Stanford University, Department of Chemistry |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Thomas Privalsky. |
|---|---|
| Note | Submitted to the Department of Chemistry. |
| Thesis | Thesis Ph.D. Stanford University 2022. |
| Location | https://purl.stanford.edu/fm633dy6497 |
Access conditions
- Copyright
- © 2022 by Thomas Mark Privalsky
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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