Trainor Kyle, Broom Aron, Meiering Elizabeth M
Department of Chemistry, University of Waterloo, 200 University Ave W, Waterloo, ON N2L 3G1, Canada.
Department of Chemistry, University of Waterloo, 200 University Ave W, Waterloo, ON N2L 3G1, Canada.
Curr Opin Struct Biol. 2017 Feb;42:136-146. doi: 10.1016/j.sbi.2017.01.004. Epub 2017 Feb 2.
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.
聚集可被视为一种蛋白质折叠形式，其中分子间缔合导致形成大的不溶性聚集体。各种类型的聚集体可根据其内部结构和总体形态（例如，纤维状或无定形）进行区分，并且准确预测给定多肽形成聚集体可能性的能力在生物学（包括疾病研究）、生物技术和生物材料研究领域具有很大的实际用途。在此，我们综述聚集/溶解度预测方法及其选定的应用。越来越复杂的方法的发展，这些方法纳入了聚集多肽单体可能采用的构象知识并预测聚集体的内部结构，正在提高预测的准确性并不断扩大应用范围。
