The network information on biological phenomena, such as incurable diseases, which were seldom known until now, was collected from more than 18,000,000 biomedical articles by a hybrid curation method which consisted of a machine curation by an information extraction system, GENPAC, and a manual curation by biologists. So far, 64 kinds of disease networks which comprise nodes of genes, proteins, chemicals, and biological phenomena, and edges of the interaction types, such as “Activate” and “Bind” have been curated by the method. The information extraction of the networks shows high recall and precision rate, and furthermore, the disease networks information can be collected by the hybrid curation more efficiently than by only expert manual curation. It can be considered that the interaction and network information which is collected by the hybrid curation will be utilized for the functional annotation of gene clusters and discovering new subpathways on biological pathway maps.