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Experimental methods such as high-throughput screening have widely used for discovery of the new drug targets. We employed an idea that disease-related proteins tend to be work as an important factor for architecture of the disease network in this study. To determine new drug target proteins, we proposed a new methodology that analyzes the human disease network by using informational technology. We re-constructed cancer-related human disease network based on the protein-protein interaction network. We derived 105 cancer related new drug-target proteins from the disease network. To evaluate our method, first of all, we extracted the cancer-related target genes that independently obtained from the human gene network introduced by Barabasi et al. The cancer-related target genes and proteins compared with cancer-related target gene dataset obtained from DrugBank. Our results from disease-related network have 81% identity with the cancer-related target genes (164) from the DrugBank. In contrast, the target genes from the human gene network have only 71% identity. These results suggest that our new methodology will contribute for discovering drug target proteins.