遇见数据集

Expression modes and tagging systems for AP/MS screening.

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The Arifuzzaman dataset is an outlier when compared with other AP/MS datasets. A possible explanation is that it is the only screen that combined both non-physiological protein expression and His-tagging instead of the superior tandem purification procedure. Note: by default AP/MS datasets are interpreted using the spoke model. In addition we list the Gavin network derived by socio-affinity scoring (scores above ). The Collins dataset relies on the same experimental data as the Krogan and Gavin datasets and is derived by a method similar to socio-affinity [7].

相较于其他亲和纯化质谱(Affinity Purification-Mass Spectrometry,AP/MS)数据集,Arifuzzaman数据集属于异类数据集。一种可能的解释为,该数据集是唯一同时采用非生理性蛋白表达与组氨酸标签(His-tag)标记,而非更优的串联纯化流程的筛选实验数据集。注:默认情况下,AP/MS数据集均采用辐条模型(spoke model)进行结果解读。此外,我们列出了经社会亲和性打分(socio-affinity scoring)得到的Gavin互作网络(打分阈值高于[原文未明确具体数值])。Collins数据集与Krogan、Gavin数据集采用了相同的实验数据,其推导方法与社会亲和性打分法[7]相似。

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2012-06-18
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