Advancing x-ray diffuse scattering to probe protein dynamics
Abstract/Contents
- Abstract
- Proteins are frequently characterized as molecular machines, with atomic-level motions driving biological function. Past decades have witnessed a dramatic increase in the tools available to probe these dynamics, but few methods enable us to resolve these collective motions with high spatial resolution. This dissertation investigates the potential of x-ray diffuse scattering from protein crystals to meet this critical need. Specifically, I review the models of correlated disorder that have previously been suggested to account for this signal and describe algorithms for processing the diffuse scattering in experimental diffraction data. These models and algorithms are applied to dissect the physical origins of the diffuse scattering observed from three protein crystals. Though considerable progress is still required for the analysis of diffuse scattering to become a routine biophysical method for studying protein dynamics, the framework and findings described in this dissertation make concrete steps toward that end.
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 | 2018; ©2018 |
Publication date | 2018; 2018 |
Issuance | monographic |
Language | English |
Creators/Contributors
Author | Peck, Ariana |
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Degree supervisor | Herschlag, Daniel |
Degree supervisor | Pande, Vijay |
Thesis advisor | Herschlag, Daniel |
Thesis advisor | Pande, Vijay |
Thesis advisor | Das, Rhiju |
Thesis advisor | Harbury, Pehr |
Degree committee member | Das, Rhiju |
Degree committee member | Harbury, Pehr |
Associated with | Stanford University, Department of Biochemistry. |
Subjects
Genre | Theses |
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Genre | Text |
Bibliographic information
Statement of responsibility | Ariana Peck. |
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Note | Submitted to the Department of Biochemistry. |
Thesis | Thesis Ph.D. Stanford University 2018. |
Location | electronic resource |
Access conditions
- Copyright
- © 2018 by Ariana Peck
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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