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Insights into protein misfolding and aggregation enabled by solid-state NMR spectroscopy
- Source :
- Solid State Nuclear Magnetic Resonance. 88:1-14
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- The aggregation of proteins and peptides into a variety of insoluble, and often non-native, aggregated states plays a central role in many devastating diseases. Analogous processes undermine the efficacy of polypeptide-based biological pharmaceuticals, but are also being leveraged in the design of biologically inspired self-assembling materials. This Trends article surveys the essential contributions made by recent solid-state NMR (ssNMR) studies to our understanding of the structural features of polypeptide aggregates, and how such findings are informing our thinking about the molecular mechanisms of misfolding and aggregation. A central focus is on disease-related amyloid fibrils and oligomers involved in neurodegenerative diseases such as Alzheimer’s, Parkinson’s and Huntington’s disease. SSNMR-enabled structural and dynamics-based findings are surveyed, along with a number of resulting emerging themes that appear common to different amyloidogenic proteins, such as their compact alternating short-β-strand/β-arc amyloid core architecture. Concepts, methods, future prospects and challenges are discussed.
- Subjects :
- 0301 basic medicine
Amyloid
Protein Folding
Nuclear and High Energy Physics
Magnetic Resonance Spectroscopy
Computational biology
010402 general chemistry
01 natural sciences
Article
Amyloidogenic Proteins
Protein Aggregates
03 medical and health sciences
Protein structure
Animals
Humans
Instrumentation
Radiation
Chemistry
Protein dynamics
Neurodegenerative Diseases
General Chemistry
Amyloid fibril
0104 chemical sciences
030104 developmental biology
Structural biology
Solid-state nuclear magnetic resonance
Biophysics
Protein folding
Subjects
Details
- ISSN :
- 09262040
- Volume :
- 88
- Database :
- OpenAIRE
- Journal :
- Solid State Nuclear Magnetic Resonance
- Accession number :
- edsair.doi.dedup.....de43ac3f2d6c947a1b87d08bd91f443c
- Full Text :
- https://doi.org/10.1016/j.ssnmr.2017.10.001