In vivo and in vitro protein folding : novel insights in co-translational protein folding and computational protein design

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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
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
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
Genre Text

Bibliographic information

Statement of responsibility Mauricio Aguilar Rangel.
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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