Constructing and analyzing a disease network based on proteins

Abstract

Protein is the specific executor of life activities, but there is no protein-based disease network and the current disease networks cannot show that a disease group share the same factors. We propose a method to construct a protein-based network by assigning disease pairs to different intervals according to their similarities and searching for disease groups in each interval. Statistical methods are used to analyze the disease network, and the result indicates that : in the case where a disease belongs to only one disease group, most diseases have their own protein characteristics, but the common protein of them is not obvious; the more diseases a protein is related to, the more likely the protein becomes common protein; diseases grouping at protein level in this study are different from traditional disease classification; there is a certain relationship between disease symptoms and underlying proteins, but not one-to-one correspondence.