Alexandria Digital Research Library

Ion-mobility and computational modeling of biomolecular self-assembly and aggregation

Author:
Do, Thanh D.
Degree Grantor:
University of California, Santa Barbara. Chemistry
Degree Supervisor:
Michael T. Bowers
Place of Publication:
[Santa Barbara, Calif.]
Publisher:
University of California, Santa Barbara
Creation Date:
2015
Issued Date:
2015
Topics:
Molecular chemistry and Biochemistry
Keywords:
Aggregation
Amyloid
Computational modelling
Ion-mobility mass spectrometry
Aggregation propensity
Self-assembly
Genres:
Online resources and Dissertations, Academic
Dissertation:
Ph.D.--University of California, Santa Barbara, 2015
Description:

Protein self-assembly leading to fibril formation is an intriguing phenomenon that has been linked to pathological agents in devastating neurodegenerative diseases and has been found to have promising applications in the development of new functional materials. In this dissertation, a combination of ion-mobility mass spectrometry, high level molecular dynamics simulation and microscopy imaging has been employed to investigate the distributions of early oligomers, their conformational transitions in the presence of small-molecule modulators and the structures of toxic and non-toxic oligomers. A variety of biomolecule models was examined to elucidate the driving forces behind amyloid and non-amyloid self-assemblies, and to provide a new approach to aggregation propensity prediction.

Physical Description:
1 online resource (316 pages)
Format:
Text
Collection(s):
UCSB electronic theses and dissertations
ARK:
ark:/48907/f34m92rb
ISBN:
9781339218687
Catalog System Number:
990045865280203776
Rights:
Inc.icon only.dark In Copyright
Copyright Holder:
Thanh Do
Access: This item is restricted to on-campus access only. Please check our FAQs or contact UCSB Library staff if you need additional assistance.