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Structural Conversion of A beta(17-42) Peptides from Disordered Oligomers to U-Shape Protofilaments via Multiple Kinetic Pathways

Structural Conversion of A beta(17-42) Peptides from Disordered Oligomers to U-Shape Protofilaments via Multiple Kinetic Pathways
Cheon, MookyungHall, Carol K.Chang, Iksoo
DGIST Authors
Chang, Iksoo
Issued Date
Article Type
Alzheimer&aposs Disease (AD)Amyloid Beta ProteinAmyloid Beta Protein[17-42]Carboxy Terminal SequenceConformational TransitionControlled StudyCytotoxicityDegenerative DiseaseKineticsMolecular DynamicsMonomerNuclear Magnetic ResonanceOligomerParkinson DiseaseProtein AggregationProtein ConformationUnclassified Drug
Discovering the mechanisms by which proteins aggregate into fibrils is an essential first step in understanding the molecular level processes underlying neurodegenerative diseases such as Alzheimer’s and Parkinson's. The goal of this work is to provide insights into the structural changes that characterize the kinetic pathways by which amyloid-β peptides convert from monomers to oligomers to fibrils. By applying discontinuous molecular dynamics simulations to PRIME20, a force field designed to capture the chemical and physical aspects of protein aggregation, we have been able to trace out the entire aggregation process for a system containing 8 Aβ17–42 peptides. We uncovered two fibrillization mechanisms that govern the structural conversion of Aβ17–42 peptides from disordered oligomers into protofilaments. The first mechanism is monomeric conversion templated by a U-shape oligomeric nucleus into U-shape protofilament. The second mechanism involves a long-lived and on-pathway metastable oligomer with S-shape chains, having a C-terminal turn, en route to the final U-shape protofilament. Oligomers with this C-terminal turn have been regarded in recent experiments as a major contributing element to cell toxicity in Alzheimer’s disease. The internal structures of the U-shape protofilaments from our PRIME20/DMD simulation agree well with those from solid state NMR experiments. The approach presented here offers a simple molecular-level framework to describe protein aggregation in general and to visualize the kinetic evolution of a putative toxic element in Alzheimer’s disease in particular. © 2015 Cheon et al.
Public Library of Science
Related Researcher
  • 장익수 Chang, Iksoo 뇌과학과
  • Research Interests Theoretical and Computational Biophysics; Supercomputing Simulation of Biomolecules; 이론?계산 생물물리학; 통계물리학; 단백질체의 슈퍼컴퓨터 모델링 및 시물레이션
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Department of Brain Sciences Theoretical and Computational Biophysics Laboratory 1. Journal Articles


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