Issue 41, 2019

Computational insights into lipid assisted peptide misfolding and aggregation in neurodegeneration

Abstract

Peptide misfolding and aberrant assembly in membranous micro-environments have been associated with numerous neurodegenerative diseases. The biomolecular mechanisms and biophysical implications of these amyloid membrane interactions have been under extensive research and can assist in understanding disease pathogenesis and potential development of rational therapeutics. But, the complex nature and diversity of biomolecular interactions, structural transitions, and dependence on local environmental conditions have made accurate microscopic characterization challenging. In this review, using cases of Alzheimer's disease (amyloid-beta peptide), Parkinson's disease (alpha-synuclein peptide) and Huntington's disease (huntingtin protein), we illustrate existing challenges in experimental investigations and summarize recent relevant numerical simulation studies into amyloidogenic peptide–membrane interactions. In addition we project directions for future in silico studies and discuss shortcomings of current computational approaches.

Graphical abstract: Computational insights into lipid assisted peptide misfolding and aggregation in neurodegeneration

Article information

Article type
Perspective
Submitted
15 May 2019
Accepted
01 Oct 2019
First published
02 Oct 2019

Phys. Chem. Chem. Phys., 2019,21, 22679-22694

Author version available

Computational insights into lipid assisted peptide misfolding and aggregation in neurodegeneration

A. Sahoo and S. Matysiak, Phys. Chem. Chem. Phys., 2019, 21, 22679 DOI: 10.1039/C9CP02765C

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