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抗体 - 抗原系统中分子识别的布朗动力学模拟

Brownian dynamics simulations of molecular recognition in an antibody-antigen system.

作者信息

Kozack R E, Subramaniam S

机构信息

Department of Physiology and Biophysics, University of Illinois at Urbana-Champaign 61801.

出版信息

Protein Sci. 1993 Jun;2(6):915-26. doi: 10.1002/pro.5560020605.

Abstract

The crystal structure for an antibody-antigen system, that of the anti-hen egg lysozyme monoclonal antibody HyHEL-5 complexed to lysozyme, is used as the starting point for computer simulations of diffusional encounters between the two proteins. The investigation consists of two parts: first, the linearized Poisson-Boltzmann equation is solved to determine the long-range electrostatic forces between antibody and antigen, and then, the relative motion as influenced by these forces is modeled within Brownian motion theory. The effects of various point mutations on the calculated reaction rate are considered. It is found that charged residues close to the binding site exert the greatest influence in steering the proteins into a configuration favorable for their binding, while more distant mutations are qualitatively described by the Smoluchowski model for the mutual diffusion of two uniformly charged spheres. The antibody residues involved in forming salt links with the lysozyme, Glu-H35 and Glu-H50, appear to be particularly important in electrostatic steering, as neutralization of both of them yields reaction rates that are two to three orders of magnitude below those of wild-type rates. The relative rates obtained from the simulations can be tested through kinetic measurements on mutant protein complexes. Kinetically efficient partners can also be designed and constructed through directed mutagenesis.

摘要

抗体 - 抗原系统的晶体结构,即抗鸡卵溶菌酶单克隆抗体HyHEL - 5与溶菌酶的复合物结构,被用作两种蛋白质扩散相遇计算机模拟的起点。该研究包括两个部分:首先,求解线性化泊松 - 玻尔兹曼方程以确定抗体和抗原之间的长程静电力,然后,在布朗运动理论框架内对受这些力影响的相对运动进行建模。考虑了各种点突变对计算出的反应速率的影响。结果发现,靠近结合位点的带电残基在引导蛋白质形成有利于结合的构象方面影响最大,而距离较远的突变在定性上符合两个均匀带电球体相互扩散的斯莫卢霍夫斯基模型。与溶菌酶形成盐桥的抗体残基Glu - H35和Glu - H50在静电引导中似乎尤为重要,因为两者都被中和时产生的反应速率比野生型速率低两到三个数量级。模拟得到的相对速率可以通过对突变蛋白复合物的动力学测量进行检验。也可以通过定向诱变设计和构建动力学高效的配对物。

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