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MPBind: a Meta-motif-based statistical framework and pipeline to Predict Binding potential of SELEX-derived aptamers

机译:MPBind:基于Meta-motif的统计框架和管道,可预测SELEX衍生的适体的结合潜力

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A Summary: Aptamers are 'synthetic antibodies' that can bind to target molecules with high affinity and specificity. Aptamers are chemically synthesized and their discovery can be performed completely in vitro, rather than relying on in vivo biological processes, making them well-suited for high-throughput discovery. However, a large fraction of the most enriched aptamers in Systematic Evolution of Ligands by EXponential enrichment (SELEX) rounds display poor binding activity. Here, we present MPBind, a Meta-motif-based statistical framework and pipeline to Predict the Binding potential of SELEX-derived aptamers. Using human embryonic stem cell SELEX-Seq data, MPBind achieved high prediction accuracy for binding potential. Further analysis showed that MPBind is robust to both polymerase chain reaction amplification bias and incomplete sequencing of aptamer pools. These two biases usually confound aptamer analysis.
机译:简介:适体是可以以高亲和力和特异性结合靶分子的“合成抗体”。适体是化学合成的,它们的发现可以完全在体外进行,而不是依靠体内的生物过程,因此非常适合高通量发现。然而,在通过配体富集(SELEX)的配体的系统进化中,大部分最富集的适体显示出较弱的结合活性。在这里,我们介绍了MPBind,这是一种基于Meta-motif的统计框架,可以预测SELEX衍生的适体的结合潜力。利用人类胚胎干细胞SELEX-Seq数据,MPBind获得了结合潜力的高预测准确性。进一步的分析表明,MPBind对聚合酶链反应扩增偏倚和适体池的不完全测序均具有鲁棒性。这两个偏差通常会混淆适体分析。

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