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CLIPS-1D: analysis of multiple sequence alignments to deduce for residue-positions a role in catalysis ligand-binding or protein structure

机译:CLIPS-1D:分析多个序列比对以推断残基位置在催化配体结合或蛋白质结构中的作用

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摘要

BackgroundOne aim of the in silico characterization of proteins is to identify all residue-positions, which are crucial for function or structure. Several sequence-based algorithms exist, which predict functionally important sites. However, with respect to sequence information, many functionally and structurally important sites are hard to distinguish and consequently a large number of incorrectly predicted functional sites have to be expected. This is why we were interested to design a new classifier that differentiates between functionally and structurally important sites and to assess its performance on representative datasets.
机译:背景技术对蛋白质进行计算机表征的一个目的是鉴定所有对功能或结构至关重要的残基位置。存在几种基于序列的算法,这些算法可预测功能上重要的位点。然而,关于序列信息,许多功能上和结构上重要的位点难以区分,因此必须预期大量错误预测的功能位点。这就是为什么我们有兴趣设计一个新的分类器,以区分功能上和结构上重要的站点,并评估其在代表性数据集上的表现。

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