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Aggregation of disease-related peptides
Phuong H Nguyen1, Fabio Sterpone1, Philippe Derreumaux2
1CNRS, Université de Paris, UPR 9080, Laboratoire de Biochimie Théorique, Paris, France; Institut de Biologie Physico-Chimique-Fondation Edmond de Rothschild, PSL Research University, Paris, France.
Progress in Molecular Biology and Translational Science
|March 9, 2020
Summary
Protein misfolding causes over 20 diseases. Computer simulations of amyloid peptide aggregation reveal crucial insights into toxic aggregate formation and disease mechanisms.
Area of Science:
- Biophysics
- Computational Biology
- Neuroscience
Background:
- Protein misfolding and amyloid aggregation are implicated in over 20 diseases.
- The precise molecular mechanisms driving self-assembly and toxic aggregate formation remain poorly understood.
- Amyloid peptides are central to neurodegenerative conditions.
Purpose of the Study:
- To review atomistic and coarse-grained computer simulations of short amyloid peptides.
- To elucidate the transient oligomeric structures formed during aggregation.
- To understand the early and late stages of amyloid aggregation.
Main Methods:
- Review of atomistic simulations.
- Review of coarse-grained simulations.
- Analysis of short amyloid peptides.
Main Results:
- Simulations provide insights into oligomeric structures.
- Early and late aggregation steps are investigated.
- Mechanisms of self-assembly are explored.
Conclusions:
- Computer simulations are vital tools for studying amyloid aggregation.
- Further simulation studies are needed to fully understand disease mechanisms.
- Elucidating aggregation pathways can inform therapeutic strategies.
