Recent Advances in Mapping Protein Self-Assembly and Aggregation for Common Proteinopathies

被引:1
|
作者
Bhattacharya, S. [1 ]
Thompson, D. [1 ]
机构
[1] Univ Limerick, Bernal Inst, Dept Phys, Limerick V94 T9PX, Ireland
关键词
proteinopathies; self-assembly; computational modelling; molecular dynamics simulations; ALPHA-SYNUCLEIN FIBRILS; THERMODYNAMIC STABILITY; COMPUTATIONAL DESIGN; ALZHEIMERS-DISEASE; CRYO-EM; DYNAMICS; STATE; SIMULATIONS; REVEALS; DIMERS;
D O I
10.12693/APhysPolA.145.S37
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
The accumulation of abnormal conformation by brain peptides and proteins followed by their aberrant self-assembly into insoluble aggregates is the hallmark of "proteinopathies", common across many neurodegenerative disorders. Experiments suggest that soluble low-molecular-weight oligomers formed in the early stages of assembly are neurotoxic, and hence, drug targets. However, the inherent polymorphic nature of these short-lived oligomers restricts their experimental characterisation in pathological protein self-assembly pathways. Here, we shed light on the latest contributions from atomic-level modelling techniques, such as computer-based molecular dynamics simulations in bulk solution and on surfaces, which are guiding experimental efforts to map early stages of protein self-assembly in common proteinopathies, including Alzheimer's and Parkinson's diseases, which could potentially aid in molecular-level understanding of disease pathologies. Predictive computational modelling of amyloid-beta and tau protein assemblies in Alzheimer's disease and alpha-synuclein protein assemblies in Parkinson's disease highlights the potential for identification and characterisation of new therapeutic targets for currently incurable neurodegeneration.
引用
收藏
页码:S37 / S50
页数:14
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