淀粉样蛋白(真菌学)
生物信息学
蛋白质折叠
体内
体外
计算生物学
蛋白质聚集
淀粉样疾病
淀粉样纤维
折叠(DSP实现)
阿尔茨海默病的生物化学
化学
P3肽
淀粉样β
计算机科学
淀粉样前体蛋白
生物化学
生物
阿尔茨海默病
医学
病理
遗传学
疾病
无机化学
工程类
电气工程
基因
作者
Anna Villar‐Piqué,Alba Espargaró,Salvador Ventura,Raimon Sabaté
出处
期刊:Current Protein & Peptide Science
[Bentham Science Publishers]
日期:2014-05-31
卷期号:15 (5): 477-489
被引量:11
标识
DOI:10.2174/1389203715666140221101038
摘要
Protein misfolding and aggregation into amyloid structures is linked with an increasing number of nonneuropathic (either localized or systemic) and neurodegenerative human disorders. In the present review, we compile and describe methods, which have been developed to predict, detect and characterize amyloid and amyloid-like protein deposits. We focus in the state-of-the-art methodologies to study and image amyloid aggregation in-vitro, from qualitative and low-resolution techniques to methods addressed to resolve protein structures at atomic level. We also recapitulate the most relevant literature describing approaches that have been demonstrated to be able to detect and characterize protein aggregation in cells and living organisms, as well as methodologies to report cytotoxicity associated to amyloid formation. Overall, the aim of this review is to illustrate computational and experimental methods to characterize and predict in-vitro and in-vivo amyloid aggregation, providing the readers valuable information to elect the most appropriate techniques at their convenience.
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