The Functional Homogeneity Analysis On The Topology Module Of Human Interaction Network For Classification Of Disease

A single protein molecule to body activities does not play its role, but it generally perform its functions with other protein molecules together. In the post-genome era, with large-scale protein-protein interaction (PPI) and the data of disease-genes association, so we can find out the pathogenesis of human diseases at the level of molecular. In recent years, the rapid development of network medicine provides us with a reliable platform to mine the potential molecular structural model which is generally topology module. We can obtain functional homogeneity of the module by analyzing the protein topology module in order to find out the unknown disease genes of disease, the protein complexes and drug targets.Current research has shown that disease module indeed exist in PPI networks. Based on this conclusion, we explore the function of disease classification by combining Medical Subject Headings (MeSH) subject classification of diseases with protein modules of PPI network. In this paper, we divide PPI network into314modules based on optimizing modularity and then perform GO (Gene Ontology) enrichment analysis for every topology module respectively.Calculate the homogeneity value of each module based on the enrichment results. The higher homogeneity value, the more similar to the protein function of a module. Finally, establish a module vector for every MeSH diseases classification in order to find the Go term descriptions of the corresponding disease. It provides a better understanding of the disease at the level of molecular. We also analyze the specific categories of diseases such as cancer topology module functional properties and has found that the biological process, and cellular component, molecular function is one of the most important biological tips.This paper measure the average degree of the module, module density, average shortest distance, closeness centrality and betweenness centrality for the further analysis of functional homogeneity between human Mesh disease classification and the PPI network topology according to the distribution of these attributes, we can get a conclusion of topological diversity of module and compare the module function homogeneity with these topology attributes.