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Small sets of interacting proteins suggest functional linkage mechanisms via Bayesian analogical reasoning

机译:少量相互作用蛋白提示通过贝叶斯类比推理的功能性连接机制

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摘要

Motivation: Proteins and protein complexes coordinate their activity to execute cellular functions. In a number of experimental settings, including synthetic genetic arrays, genetic perturbations and RNAi screens, scientists identify a small set of protein interactions of interest. A working hypothesis is often that these interactions are the observable phenotypes of some functional process, which is not directly observable. Confirmatory analysis requires finding other pairs of proteins whose interaction may be additional phenotypical evidence about the same functional process. Extant methods for finding additional protein interactions rely heavily on the information in the newly identified set of interactions. For instance, these methods leverage the attributes of the individual proteins directly, in a supervised setting, in order to find relevant protein pairs. A small set of protein interactions provides a small sample to train parameters of prediction methods, thus leading to low confidence.
机译:动机:蛋白质和蛋白质复合物协调其活性以执行细胞功能。在包括合成遗传阵列,遗传扰动和RNAi筛选在内的许多实验设置中,科学家们识别出一小组感兴趣的蛋白质相互作用。一个有效的假设通常是,这些相互作用是某些功能过程的可观察表型,不能直接观察到。验证性分析需要找到其他蛋白质对,它们之间的相互作用可能是有关同一功能过程的其他表型证据。寻找额外蛋白质相互作用的现有方法在很大程度上依赖于新近鉴定的相互作用集中的信息。例如,这些方法在有监督的设置中直接利用单个蛋白质的属性,以找到相关的蛋白质对。少量的蛋白质相互作用提供了少量样本来训练预测方法的参数,因此导致置信度低。

著录项

  • 来源
    《Bioinformatics》 |2011年第13期|p.374-382|共9页
  • 作者

    Ricardo Silva;

  • 作者单位
  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 01:12:43

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