Suppr超能文献

计算研究糖基化对家族 1 碳水化合物结合模块的影响。

Computational investigation of glycosylation effects on a family 1 carbohydrate-binding module.

机构信息

Department of Chemical and Biomolecular Engineering, Vanderbilt University, Nashville, Tennessee 37235, USA.

出版信息

J Biol Chem. 2012 Jan 27;287(5):3147-55. doi: 10.1074/jbc.M111.270389. Epub 2011 Dec 6.

Abstract

Carbohydrate-binding modules (CBMs) are ubiquitous components of glycoside hydrolases, which degrade polysaccharides in nature. CBMs target specific polysaccharides, and CBM binding affinity to cellulose is known to be proportional to cellulase activity, such that increasing binding affinity is an important component of performance improvement. To ascertain the impact of protein and glycan engineering on CBM binding, we use molecular simulation to quantify cellulose binding of a natively glycosylated Family 1 CBM. To validate our approach, we first examine aromatic-carbohydrate interactions on binding, and our predictions are consistent with previous experiments, showing that a tyrosine to tryptophan mutation yields a 2-fold improvement in binding affinity. We then demonstrate that enhanced binding of 3-6-fold over a nonglycosylated CBM is achieved by the addition of a single, native mannose or a mannose dimer, respectively, which has not been considered previously. Furthermore, we show that the addition of a single, artificial glycan on the anterior of the CBM, with the native, posterior glycans also present, can have a dramatic impact on binding affinity in our model, increasing it up to 140-fold relative to the nonglycosylated CBM. These results suggest new directions in protein engineering, in that modifying glycosylation patterns via heterologous expression, manipulation of culture conditions, or introduction of artificial glycosylation sites, can alter CBM binding affinity to carbohydrates and may thus be a general strategy to enhance cellulase performance. Our results also suggest that CBM binding studies should consider the effects of glycosylation on binding and function.

摘要

碳水化合物结合模块(CBMs)是糖苷水解酶中普遍存在的成分,这些酶在自然界中降解多糖。CBMs 靶向特定的多糖,并且 CBM 对纤维素的结合亲和力已知与其纤维素酶活性成正比,因此增加结合亲和力是提高性能的重要组成部分。为了确定蛋白质和聚糖工程对 CBM 结合的影响,我们使用分子模拟来量化天然糖基化家族 1 CBM 的纤维素结合。为了验证我们的方法,我们首先检查了结合过程中的芳香族碳水化合物相互作用,我们的预测与先前的实验一致,表明色氨酸突变为色氨酸可使结合亲和力提高 2 倍。然后,我们证明通过分别添加单个天然甘露糖或甘露糖二聚体,可以使结合亲和力提高 3-6 倍,而这在以前是没有考虑过的。此外,我们还表明,在 CBM 的前侧添加单个人工聚糖,同时保留天然的后侧聚糖,在我们的模型中可以对结合亲和力产生巨大影响,使其相对于非糖基化 CBM 增加高达 140 倍。这些结果表明了蛋白质工程的新方向,即通过异源表达、改变培养条件或引入人工糖基化位点来修饰糖基化模式,可以改变 CBM 对碳水化合物的结合亲和力,因此可能是提高纤维素酶性能的一般策略。我们的结果还表明,CBM 结合研究应考虑糖基化对结合和功能的影响。

相似文献

3
Distinct roles of N- and O-glycans in cellulase activity and stability.N- 和 O-聚糖在纤维素酶活性和稳定性中的作用不同。
Proc Natl Acad Sci U S A. 2017 Dec 26;114(52):13667-13672. doi: 10.1073/pnas.1714249114. Epub 2017 Dec 11.
10
Carbohydrate-binding domains: multiplicity of biological roles.碳水化合物结合结构域:多重生物学功能。
Appl Microbiol Biotechnol. 2010 Feb;85(5):1241-9. doi: 10.1007/s00253-009-2331-y. Epub 2009 Nov 12.

引用本文的文献

3
Fungal cellulases: protein engineering and post-translational modifications.真菌纤维素酶:蛋白质工程和翻译后修饰。
Appl Microbiol Biotechnol. 2022 Jan;106(1):1-24. doi: 10.1007/s00253-021-11723-y. Epub 2021 Dec 10.
9
Engineering enhanced cellobiohydrolase activity.工程强化纤维二糖水解酶活性。
Nat Commun. 2018 Mar 22;9(1):1186. doi: 10.1038/s41467-018-03501-8.
10
Distinct roles of N- and O-glycans in cellulase activity and stability.N- 和 O-聚糖在纤维素酶活性和稳定性中的作用不同。
Proc Natl Acad Sci U S A. 2017 Dec 26;114(52):13667-13672. doi: 10.1073/pnas.1714249114. Epub 2017 Dec 11.

本文引用的文献

3
Deconstruction of lignocellulosic biomass to fuels and chemicals.木质纤维素生物质的燃料和化学品解构。
Annu Rev Chem Biomol Eng. 2011;2:121-45. doi: 10.1146/annurev-chembioeng-061010-114205.
4
6
Hypocrea jecorina CEL6A protein engineering.栓菌 CEL6A 蛋白工程。
Biotechnol Biofuels. 2010 Sep 8;3:20. doi: 10.1186/1754-6834-3-20.
7
Good practices in free-energy calculations.自由能计算的良好实践。
J Phys Chem B. 2010 Aug 19;114(32):10235-53. doi: 10.1021/jp102971x.
9
A mechanistic model of the enzymatic hydrolysis of cellulose.纤维素酶解的机理模型。
Biotechnol Bioeng. 2010 Sep 1;107(1):37-51. doi: 10.1002/bit.22789.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验