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螺旋蛋白结合位点中卟啉结合的几何约束。

Geometric constraints for porphyrin binding in helical protein binding sites.

作者信息

Negron Christopher, Fufezan Christian, Koder Ronald L

机构信息

Department of Physics, the City College of New York, New York, New York 10031, USA.

出版信息

Proteins. 2009 Feb 1;74(2):400-16. doi: 10.1002/prot.22143.

Abstract

Helical bundles which bind heme and porphyrin cofactors have been popular targets for cofactor-containing de novo protein design. By analyzing a highly nonredundant subset of the protein databank we have determined a rotamer distribution for helical histidines bound to heme cofactors. Analysis of the entire nonredundant database for helical sequence preferences near the ligand histidine demonstrated little preference for amino acid side chain identity, size, or charge. Analysis of the database subdivided by ligand histidine rotamer, however, reveals strong preferences in each case, and computational modeling illuminates the structural basis for some of these findings. The majority of the rotamer distribution matches that predicted by molecular simulation of a single porphyrin-bound histidine residue placed in the center of an all-alanine helix, and the deviations explain two prominent features of natural heme protein binding sites: heme distortion in the case of the cytochromes C in the m166 histidine rotamer, and a highly prevalent glycine residue in the t73 histidine rotamer. These preferences permit derivation of helical consensus sequence templates which predict optimal side chain-cofactor packing interactions for each rotamer. These findings thus promise to guide future design endeavors not only in the creation of higher affinity heme and porphyrin binding sites, but also in the direction of bound cofactor geometry.

摘要

结合血红素和卟啉辅因子的螺旋束一直是含辅因子的从头蛋白质设计的热门目标。通过分析蛋白质数据库中一个高度非冗余的子集,我们确定了与血红素辅因子结合的螺旋组氨酸的旋转异构体分布。对整个非冗余数据库中配体组氨酸附近螺旋序列偏好的分析表明,对氨基酸侧链的同一性、大小或电荷几乎没有偏好。然而,按配体组氨酸旋转异构体细分的数据库分析在每种情况下都显示出强烈的偏好,并且计算模型揭示了其中一些发现的结构基础。大多数旋转异构体分布与放置在全丙氨酸螺旋中心的单个卟啉结合组氨酸残基的分子模拟预测的分布相匹配,这些偏差解释了天然血红素蛋白结合位点的两个突出特征:m166组氨酸旋转异构体中细胞色素C的血红素扭曲,以及t73组氨酸旋转异构体中高度普遍的甘氨酸残基。这些偏好允许推导螺旋共有序列模板,该模板预测每个旋转异构体的最佳侧链-辅因子堆积相互作用。因此,这些发现有望指导未来的设计工作,不仅在于创建更高亲和力的血红素和卟啉结合位点,还在于结合辅因子几何形状的方向。

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