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催化抗体模型和诱变表明精氨酸在过渡态稳定中起作用。

Catalytic antibody model and mutagenesis implicate arginine in transition-state stabilization.

作者信息

Roberts V A, Stewart J, Benkovic S J, Getzoff E D

机构信息

Department of Molecular Biology, Scripps Research Institute, La Jolla, CA 92037.

出版信息

J Mol Biol. 1994 Jan 21;235(3):1098-116. doi: 10.1006/jmbi.1994.1060.

Abstract

To probe the mechanism of the catalytic antibody NPN43C9, we have constructed a three-dimensional model of the NPN43C9 variable region using our antibody structural database (ASD), which takes maximal advantage of immunoglobulin sequence and structural information. The ASD contains separately superimposed variable light and variable heavy chains, which reveal not only conserved backbone structure, but also structurally conserved side-chain conformations. The NPN43C9 model revealed that the guanidinium group of light chain Arg L96 was positioned at the bottom of the antigen-binding site and formed a salt bridge with the antigen's phosphonamidate group, which mimics the negatively charged, tetrahedral transition states in the hydrolysis reaction. Thus, the model predicts both binding and catalytic functions for Arg L96, which previously had not been implicated in either. First, Arg L96 should enhance antigen binding by electrostatically complementing the negative charge of the antigen, which is buried upon complex formation. Second, Arg L96 should promote catalysis by electrostatically stabilizing the negatively charged transition states formed during catalysis. These hypotheses were tested experimentally by design and characterization of the R-L96-Q mutant, in which Arg L96 was replaced with Gln by site-directed mutagenesis. As predicted, antigen binding in the R-L96-Q mutant was decreased relative to that in the parent NPN43C9 antibody, but binding of antigen fragments lacking the phosphonamidate group was retained. In addition, the R-L96-Q mutant had no detectable esterase activity. Thus, the computational model and experimental results together suggest a mechanism by which the catalytic antibody NPN43C9 stabilizes high-energy transition states during catalysis.

摘要

为了探究催化抗体NPN43C9的作用机制,我们利用抗体结构数据库(ASD)构建了NPN43C9可变区的三维模型,该数据库充分利用了免疫球蛋白的序列和结构信息。ASD分别包含叠加的可变轻链和可变重链,它们不仅揭示了保守的主链结构,还揭示了结构上保守的侧链构象。NPN43C9模型显示,轻链精氨酸L96的胍基位于抗原结合位点底部,并与抗原的膦酰胺基团形成盐桥,该盐桥模拟了水解反应中带负电荷的四面体过渡态。因此,该模型预测了L96精氨酸的结合和催化功能,而此前这两种功能均未被涉及。首先,L96精氨酸应通过静电补充抗原的负电荷来增强抗原结合,该负电荷在复合物形成时被掩埋。其次,L96精氨酸应通过静电稳定催化过程中形成的带负电荷的过渡态来促进催化作用。通过设计和表征R-L96-Q突变体对这些假设进行了实验验证,在该突变体中,通过定点诱变将L96精氨酸替换为谷氨酰胺。正如预测的那样,R-L96-Q突变体中的抗原结合相对于亲本NPN43C9抗体有所降低,但缺乏膦酰胺基团的抗原片段的结合得以保留。此外,R-L96-Q突变体没有可检测到的酯酶活性。因此,计算模型和实验结果共同表明了催化抗体NPN43C9在催化过程中稳定高能过渡态的机制。

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