In vivo and in vitro protein folding : novel insights in co-translational protein folding and computational protein design
Abstract/Contents
- Abstract
- This thesis focuses on characterizing the determinants of ribosome pausing and its correlation with the mechanisms of protein folding by combining machine learning methods with ribosome profiling. Furthermore, for the first time, a detailed explanation of the intricate manner on which the cotranslational machinery assists the folding of newly synthesized proteins is offered. Finally, a demonstration of how information provided by naturally occurring proteins can be leveraged in order to design new protein-protein interactions will be provided.
Description
Type of resource | text |
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Form | electronic resource; remote; computer; online resource |
Extent | 1 online resource. |
Place | California |
Place | [Stanford, California] |
Publisher | [Stanford University] |
Copyright date | 2020; ©2020 |
Publication date | 2020; 2020 |
Issuance | monographic |
Language | English |
Creators/Contributors
Author | Aguilar Rangel, Mauricio |
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Degree supervisor | Frydman, Judith |
Thesis advisor | Frydman, Judith |
Thesis advisor | Feldman, Marcus W |
Thesis advisor | Gozani, Or Pinchas |
Degree committee member | Feldman, Marcus W |
Degree committee member | Gozani, Or Pinchas |
Associated with | Stanford University, Department of Biology |
Subjects
Genre | Theses |
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Genre | Text |
Bibliographic information
Statement of responsibility | Mauricio Aguilar Rangel. |
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Note | Submitted to the Department of Biology. |
Thesis | Thesis Ph.D. Stanford University 2020. |
Location | electronic resource |
Access conditions
- Copyright
- © 2020 by Mauricio Aguilar Rangel
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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