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一种检测蛋白质上核苷酸结合位点的经验方法。

An empirical approach for detecting nucleotide-binding sites on proteins.

作者信息

Saito Mihoko, Go Mitiko, Shirai Tsuyoshi

机构信息

Division of Biological Science, Graduate School of Science, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8603, Japan.

出版信息

Protein Eng Des Sel. 2006 Feb;19(2):67-75. doi: 10.1093/protein/gzj002. Epub 2006 Jan 10.

Abstract

Protein structure data in the PDB (Protein Data Bank) were used to construct empirical scores of nucleotide-protein interactions. A simple strategy to evaluate the spatial distribution of protein atoms around the base moieties of nucleotides was applied to categorize adenine, guanine, nicotinamide and flavin nucleotide-binding sites. In addition to the known nucleotide-binding motifs, the empirical scores detected several other features that were shared among proteins with different folds. The empirical scores were also used to predict the binding sites on protein molecules and a comprehensive test of the prediction system was performed. As a result, adenine, guanine, nicotinamide and flavin sites were detected with efficiencies of 31, 29, 32 and 40%, respectively. The predictions were judged to be successful if the predicted base with the best score was located within a 3.0 A r.m.s.d. from the known ligand positions.

摘要

蛋白质数据银行(PDB)中的蛋白质结构数据被用于构建核苷酸 - 蛋白质相互作用的经验评分。一种评估核苷酸碱基部分周围蛋白质原子空间分布的简单策略被应用于对腺嘌呤、鸟嘌呤、烟酰胺和黄素核苷酸结合位点进行分类。除了已知的核苷酸结合基序外,经验评分还检测到了其他几个不同折叠蛋白质共有的特征。经验评分还被用于预测蛋白质分子上的结合位点,并对预测系统进行了全面测试。结果,分别以31%、29%、32%和40%的效率检测到了腺嘌呤、鸟嘌呤、烟酰胺和黄素位点。如果得分最高的预测碱基位于距已知配体位置3.0埃的均方根偏差范围内,则判断预测成功。

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