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Optimization of binding electrostatics: charge complementarity in the barnase-barstar protein complex.结合静电作用的优化:巴纳酶-巴纳星蛋白复合物中的电荷互补性
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The functional binding epitope of a high affinity variant of human growth hormone mapped by shotgun alanine-scanning mutagenesis: insights into the mechanisms responsible for improved affinity.通过鸟枪法丙氨酸扫描诱变确定的人生长激素高亲和力变体的功能性结合表位:对亲和力提高机制的见解。
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Comparison of calculation and experiment implicates significant electrostatic contributions to the binding stability of barnase and barstar.计算结果与实验结果的比较表明,静电作用对核糖核酸酶 barnase 和核糖核酸酶抑制剂 barstar 的结合稳定性有显著贡献。
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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.
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Dissection of binding interactions in the complex between the anti-lysozyme antibody HyHEL-63 and its antigen.抗溶菌酶抗体HyHEL-63与其抗原复合物中结合相互作用的剖析
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A quantitative model for predicting enzyme enantioselectivity: application to Burkholderia cepacia lipase and 3-(aryloxy)-1,2-propanediol derivatives.一种预测酶对映体选择性的定量模型:应用于洋葱伯克霍尔德菌脂肪酶和3-(芳氧基)-1,2-丙二醇衍生物
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Comparative binding energy (COMBINE) analysis of OppA-peptide complexes to relate structure to binding thermodynamics.OppA-肽复合物的比较结合能(COMBINE)分析,以关联结构与结合热力学。
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A simple physical model for binding energy hot spots in protein-protein complexes.蛋白质-蛋白质复合物中结合能热点的一个简单物理模型。
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Electrostatic contributions to T4 lysozyme stability: solvent-exposed charges versus semi-buried salt bridges.静电作用对T4溶菌酶稳定性的影响:溶剂暴露电荷与半埋藏盐桥
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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.

DOI:10.1529/biophysj.104.040964
PMID:15345541
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC1304567/
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。