Mapping Molecular Association Networks of Nervous System Diseases via Large-Scale Analysis of Published Research

摘要: Network medicine has been applied successfully to elicit the structure of large-scale molecular interaction networks. Its main proponents have claimed that this approach integrative medical investigation should make it possible identify functional modules interacting biological units as well interactions themselves. This paper takes a significant step in direction. Based on analysis nervous system literature, study analyzes and visualizes complex associations between diseases one hand all types substances other. From then identifies co-association groups consisting several substances, each exhibit pattern frequent with similar diseases. These turn interlinking pattern, suggesting such may play role disease etiology. We find patterns exhibited by networks – substance studied here correspond number recently published research results, identified statistical these do appear be interesting are interconnected identifiable interpretable ways. Our results not only demonstrate convenient framework analyze visualize large-scale, relationships among diseases, but also provide conceptual basis for bridging gaps experimental theoretical knowledge.