溶解度
序列(生物学)
分子间力
折叠(DSP实现)
蛋白质折叠
无定形固体
蛋白质聚集
化学
蛋白质结构预测
计算生物学
蛋白质结构
生物系统
生化工程
计算机科学
生物
结晶学
生物化学
分子
有机化学
工程类
电气工程
作者
Kyle Trainor,Aron Broom,Elizabeth M. Meiering
标识
DOI:10.1016/j.sbi.2017.01.004
摘要
Aggregation can be thought of as a form of protein folding in which intermolecular associations lead to the formation of large, insoluble assemblies. Various types of aggregates can be differentiated by their internal structures and gross morphologies (e.g., fibrillar or amorphous), and the ability to accurately predict the likelihood of their formation by a given polypeptide is of great practical utility in the fields of biology (including the study of disease), biotechnology, and biomaterials research. Here we review aggregation/solubility prediction methods and selected applications thereof. The development of increasingly sophisticated methods that incorporate knowledge of conformations possibly adopted by aggregating polypeptide monomers and predict the internal structure of aggregates is improving the accuracy of the predictions and continually expanding the range of applications.
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