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Baiting proteins with C_(60)

机译:用C_(60)诱饵蛋白质

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About 20 proteins are known to modify their activity upon interaction with C_(60). Their structures are present in a database that includes more than 1200 protein structures selected as possible targets for drugs and to represent the entire Protein Data Bank. The set was examined with an algorithm that appraises quantitatively the interaction of C_(60) and the surface of each protein. The redundancy of the set allows to establish the predictive power of the approach that finds explicitly the most probable site where C _(60) docks on each protein. About 80% of the known fullerene binding proteins fall in the top 10% of scorers. The close match between the model and experiments vouches for the accuracy of the model and validates its predictions. The sites of docking are shown and discussed in view of the existing experimental data available for protein-C_(60) interaction. A closer exam of the 10 top scorers is discussed in detail. New proteins that can interact with C_(60) are identified and discussed for possible future applications as drug targets and fullerene derivatives bioconjugate materials.
机译:已知约20种蛋白质在与C_(60)相互作用时会改变其活性。它们的结构存在于一个数据库中,该数据库包含1200多种蛋白质结构,这些蛋白质结构被选作药物的可能靶标,并代表整个蛋白质数据库。用一种算法检查该集合,该算法定量评估C_(60)与每种蛋白质表面的相互作用。该集合的冗余性允许建立该方法的预测能力,该方法可明确找到C_(60)对接每种蛋白质的最可能位点。大约80%的已知富勒烯结合蛋白落在得分者的前10%。模型与实验之间的紧密匹配证明了模型的准确性并验证了其预测。鉴于现有的可用于蛋白质C_(60)相互作用的实验数据,对接位点进行了显示和讨论。详细讨论了对10个最佳得分手的详细考试。鉴定并讨论了可以与C_(60)相互作用的新蛋白质,作为药物靶标和富勒烯衍生物生物缀合物材料,可能在未来的应用。

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