Suppr超能文献

巴纳酶和巴尔斯塔的结合能有多理想?

How optimal are the binding energetics of barnase and barstar?

作者信息

Wang Ting, Tomic Sanja, Gabdoulline Razif R, Wade Rebecca C

机构信息

Molecular and Cellular Modeling Group, EML Research, 69118 Heidelberg, Germany.

出版信息

Biophys J. 2004 Sep;87(3):1618-30. doi: 10.1529/biophysj.104.040964.

Abstract

The extracellular ribonuclease barnase and its intracellular inhibitor barstar bind fast and with high affinity. Although extensive experimental and theoretical studies have been carried out on this system, it is unclear what the relative importance of different contributions to the high affinity is and whether binding can be improved through point mutations. In this work, we first applied Poisson-Boltzmann electrostatic calculations to 65 barnase-barstar complexes with mutations in both barnase and barstar. The continuum electrostatic calculations with a van der Waals surface dielectric boundary definition result in the electrostatic interaction free energy providing the dominant contribution favoring barnase-barstar binding. The results show that the computed electrostatic binding free energy can be improved through mutations at W44/barstar and E73/barnase. Furthermore, the determinants of binding affinity were quantified by applying COMparative BINding Energy (COMBINE) analysis to derive quantitative structure-activity relationships (QSARs) for the 65 complexes. The COMBINE QSAR model highlights approximately 20 interfacial residue pairs as responsible for most of the differences in binding affinity between the mutant complexes, mainly due to electrostatic interactions. Based on the COMBINE model, together with Brownian dynamics simulations to compute diffusional association rate constants, several mutants were designed to have higher binding affinities than the wild-type proteins.

摘要

细胞外核糖核酸酶巴那斯酶(barnase)及其细胞内抑制剂巴丝塔(barstar)能快速且高亲和力地结合。尽管已对该系统进行了广泛的实验和理论研究,但尚不清楚不同因素对高亲和力的相对重要性,以及是否可通过点突变来提高结合能力。在这项工作中,我们首先对65个在巴那斯酶和巴丝塔中均有突变的巴那斯酶 - 巴丝塔复合物应用了泊松 - 玻尔兹曼静电计算。采用范德华表面介电边界定义的连续介质静电计算结果表明,静电相互作用自由能对巴那斯酶 - 巴丝塔结合起到了主要的促进作用。结果显示,通过对巴丝塔的W44和巴那斯酶的E73进行突变,可提高计算得到的静电结合自由能。此外,通过应用比较结合能(COMBINE)分析来推导65个复合物的定量构效关系(QSAR),从而对结合亲和力的决定因素进行了量化。COMBINE QSAR模型突出了约20对界面残基对,它们是造成突变复合物之间结合亲和力差异的主要原因,主要是由于静电相互作用。基于COMBINE模型,并结合布朗动力学模拟来计算扩散缔合速率常数,设计了几个具有比野生型蛋白更高结合亲和力的突变体。

相似文献

5
Diffusional encounter of barnase and barstar.巴纳酶与巴尔斯塔的扩散碰撞。
Biophys J. 2006 Mar 15;90(6):1913-24. doi: 10.1529/biophysj.105.075507. Epub 2005 Dec 16.

引用本文的文献

8
Discrete structural features among interface residue-level classes.界面残基水平类别之间的离散结构特征。
BMC Bioinformatics. 2015;16 Suppl 18(Suppl 18):S8. doi: 10.1186/1471-2105-16-S18-S8. Epub 2015 Dec 9.

本文引用的文献

3
MolSurfer: A macromolecular interface navigator.MolSurfer:一种大分子界面导航器。
Nucleic Acids Res. 2003 Jul 1;31(13):3349-51. doi: 10.1093/nar/gkg588.

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