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An empirical approach for detecting nucleotide-binding sites on proteins

机译:检测蛋白质上核苷酸结合位点的经验方法

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摘要

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 angstrom r.m.s.d. from the known ligand positions.
机译:PDB(蛋白质数据库)中的蛋白质结构数据用于构建核苷酸-蛋白质相互作用的经验分数。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。除已知的核苷酸结合基序外,经验分数还检测到了其他具有不同倍数的蛋白质共有的其他特征。经验分数还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,检出的腺嘌呤,鸟嘌呤,烟酰胺和黄素位点的效率分别为31%,29%,32%和40%。如果具有最高分数的预测碱基位于3.0埃r.m.s.d之内,则认为该预测是成功的。从已知的配体位置。

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