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New Strategies for Evaluation and Analysis of SELEX Experiments

机译:SELEX实验评估与分析的新策略

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摘要

Aptamers are an interesting alternative to antibodies in pharmaceutics and biosensorics, because they are able to bind to a multitude of possible target molecules with high affinity. Therefore the process of finding such aptamers, which is commonly a SELEX screening process, becomes crucial. The standard SELEX procedure schedules the validation of certain found aptamers via binding experiments, which is not leading to any detailed specification of the aptamer enrichment during the screening. For the purpose of advanced analysis of the accrued enrichment within the SELEX library we used sequence information gathered by next generation sequencing techniques in addition to the standard SELEX procedure. As sequence motifs are one possibility of enrichment description, the need of finding those recurring sequence motifs corresponding to substructures within the aptamers, which are characteristically fitted to specific binding sites of the target, arises. In this paper a motif search algorithm is presented, which helps to describe the aptamers enrichment in more detail. The extensive characterization of target and binding aptamers may later reveal a functional connection between these molecules, which can be modeled and used to optimize future SELEX runs in case of the generation of target-specific starting libraries.
机译:适体是药学和生物传感器的抗体的一个有趣的替代方案,因为它们能够与具有高亲和力的多个可能的靶分子结合。因此,找到这种适体的过程,这通常是Selex筛选过程变得至关重要。标准SELEX程序调度通过结合实验来确定某些发现的适体的验证,这不会导致筛选期间适于富集的任何详细说明。为了高级分析SELEX Library内的应计富集,我们除了标准SELEX过程之外,我们使用了由下一代测序技术收集的序列信息。随着序列基序是一种富集描述的一种可能性,需要找到对应于适体内结构的重复序列基序,其特征在于靶的特异性结合位点。在本文中,提出了一个图案搜索算法,这有助于更详细地描述Aptamers富集。靶和结合适体的广泛表征可以稍后可以揭示这些分子之间的功能连接,这可以是建模和用于优化未来SELEX在生成目标特定的起始库的情况下进行的。

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