Discovery of functional module alignment

被引：1

作者：

Xie, Jiang ^{[1
]}

Xiang, Chaojuan ^{[1
]}

Xu, Junfu ^{[1
]}

Zhang, Wu ^{[1
]}

Wang, Jiao ^{[2
]}

机构：

[1] Shanghai Univ, Sch Comp Engn & Sci, Shanghai 200444, Peoples R China

[2] Shanghai Univ, Sch Life Sci, Shanghai 200444, Peoples R China

来源：

NEUROCOMPUTING | 2016年 / 206卷

关键词：

Functional module alignment; Visualization; Protein interaction networks alignment; PROTEIN-INTERACTION NETWORKS; MOLECULAR INTERACTION DATABASE; GLOBAL ALIGNMENT; PPI NETWORK; VISUALIZATION; PREDICTION; COMPLEXES;

D O I：

10.1016/j.neucom.2016.04.055

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The alignment of protein interaction networks (PINs) could help reveal similar subnetworks that may play important roles in biology. However, it is challenging to visualize the network alignment, especially for those large-scale PINs. In this work, we present a tool, namely FMA-finder, which can visualize large-scale network alignments between different species. Moreover, instead of focusing on the protein pairs to detect functional homologies, functional module alignment (FMA) is proposed in this study. FMAs are biologically meaningful because they are pairs of subnetworks sharing similar functions. The FMA-finder tool provides both analysis and visualization of FMAs. Experiments on the alignment between Homo sapiens and Saccharomyces cerevisiae protein interaction networks demonstrate that our FMA-finder can visualize and analyze large-scale network alignments. (C) 2016 Elsevier B.V. All rights reserved.

引用

页码：19 / 27

页数：9

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