Protein complex finding and ranking: An application to Alzheimer's disease
Protein complex finding and ranking: An application to Alzheimer's disease
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DOI：
10.1007/s12038-017-9696-3
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发表时间：
2017-09-01
影响因子：
2.9
通讯作者：
Kalita, Jugal K.
中科院分区：
文献类型：
--
作者：
Sharma, Pooja;Bhattacharyya, Dhruba K.;Kalita, Jugal K.
已知蛋白质复合物在控制生物体中的细胞活性中起主要作用。从原始蛋白质-蛋白质相互作用（PPI）中识别复合物是一个重要的研究领域。早期的工作主要局限于酵母和其他一些模式生物。当应用于大型人PPI时，这种蛋白质复合物鉴定方法通常性能较差。我们引入了一种新的方法，称为ComFiR检测这种蛋白质复合物，并进一步排名基于查询疾病的疾病复合物。我们已经表明，它在从人类PPI数据中识别蛋白质复合物方面具有更好的性能。从阳性预测值、灵敏度和准确度方面对该方法进行评价。我们已经介绍了一个排名的方法，并显示其应用于阿尔茨海默氏病。
Protein complexes are known to play a major role in controlling cellular activity in a living being. Identifying complexes from raw protein-protein interactions (PPIs) is an important area of research. Earlier work has been limited mostly to yeast and a few other model organisms. Such protein complex identification methods, when applied to large human PPIs often give poor performance. We introduce a novel method called ComFiR to detect such protein complexes and further rank diseased complexes based on a query disease. We have shown that it has better performance in identifying protein complexes from human PPI data. This method is evaluated in terms of positive predictive value, sensitivity and accuracy. We have introduced a ranking approach and showed its application on Alzheimer's disease.