SMILE:一种定位扩展的亚细胞模块识别新方法

Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics Pub Date : 2017-08-20 DOI:10.1145/3107411.3110415

Lixin Cheng, Pengfei Liu, K. Leung

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引用次数: 9

摘要

我们提出了一种新的方法，亚细胞模块识别与定位扩展(SMILE)，以识别由几个亚细胞模块组成的超级模块，这些模块在细胞间执行特定的生物功能。与ComPPI和InWeb_InBioMap蛋白质相互作用数据集中从全球蛋白质相互作用网络中鉴定出的模块相比，SMILE鉴定出的这些超级模块在功能上更多样化，并且与已知的蛋白质复合物和生物学途径有更多的关联。我们的研究结果表明，亚细胞定位是功能模块的主要特征，并为检测具有生物学意义的结果提供了重要指导。

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SMILE: A Novel Procedure for Subcellular Module Identification with Localization Expansion

We propose a novel procedure, Subcellular Module Identification with Localization Expansion (SMILE), to identify super modules that consist of several subcellular modules performing specific biological functions among cell compartments. These super modules identified by SMILE are more functionally diverse and have been verified to be more associated with known protein complexes and biological pathways compared with the modules identified from the global protein interaction networks in both the ComPPI and InWeb_InBioMap protein interaction datasets. Our results reveal that subcellular localization is a principal feature of functional modules and offers important guidance in detecting biologically meaningful results.

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Proceedings of the 8th ACM International Conference on Bioinformatics, Computational Biology,and Health Informatics

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