4.0 Article

Computational design and experimental characterisation of a stable human heparanase variant

期刊

RSC CHEMICAL BIOLOGY
卷 3, 期 3, 页码 341-349

出版社

ROYAL SOC CHEMISTRY
DOI: 10.1039/d1cb00239b

关键词

-

资金

  1. ARC Centre of Excellence for Innovations in Peptide and Protein Science [CE200100012]
  2. ARC Centre of Excellence in Synthetic Biology [CE200100029]
  3. ARC Linkage Grant [LP160101552]
  4. Australian Research Council [CE200100029, LP160101552] Funding Source: Australian Research Council

向作者/读者索取更多资源

This study describes the computational redesign of heparanase for high yield expression in Escherichia coli. Despite the presence of 26 mutations, this mutated form of heparanase exhibited similar kinetics, inhibition, structure, and protein dynamics to the wild type protein. This research facilitates wider study of this important enzyme and reveals the significant effects of evolutionarily conserved and functionally neutral mutations on protein folding and expression.
Heparanase is the only human enzyme known to hydrolyse heparin sulfate and is involved in many important physiological processes. However, it is also unregulated in many disease states, such as cancer, diabetes and Covid-19. It is thus an important drug target, yet the heterologous production of heparanase is challenging and only possible in mammalian or insect expression systems, which limits the ability of many laboratories to study it. Here we describe the computational redesign of heparanase to allow high yield expression in Escherchia coli. This mutated form of heparanase exhibits essentially identical kinetics, inhibition, structure and protein dynamics to the wild type protein, despite the presence of 26 mutations. This variant will facilitate wider study of this important enzyme and contributes to a growing body of literature that shows evolutionarily conserved and functionally neutral mutations can have significant effects on protein folding and expression.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.0
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据