理论(学习稳定性)
算法
蛋白质工程
计算机科学
人工智能
生物信息学
机器学习
生物
生物化学
酶
作者
B. Mylemans,Xiao Yin Lee,I. Laier,Christine Helsen,Arnout Voet
标识
DOI:10.1038/s41598-021-98391-0
摘要
[Formula: see text]-Propeller proteins are common natural disc-like pseudo-symmetric proteins that contain multiple repeats ('blades') each consisting of a 4-stranded anti-parallel [Formula: see text]-sheet. So far, 4- to 12-bladed [Formula: see text]-propellers have been discovered in nature showing large functional and sequential variation. Using computational design approaches, we created perfectly symmetric [Formula: see text]-propellers out of natural pseudo-symmetric templates. These proteins are useful tools to study protein evolution of this very diverse fold. While the 7-bladed architecture is the most common, no symmetric 7-bladed monomer has been created and characterized so far. Here we describe such a engineered protein, based on a highly symmetric natural template, and test the effects of circular permutation on its stability. Geometrical analysis of this protein and other artificial symmetrical proteins reveals no systematic constraint that could be used to help in engineering of this fold, and suggests sequence constraints unique to each [Formula: see text]-propeller sub-family.
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