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首页> 外文会议>IEEE International Conference on Bioinformatics and Biomedicine Workshop >Discovery of cancer-related new drug target proteins from re-constructed human disease network based on protein-protein interaction network
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Discovery of cancer-related new drug target proteins from re-constructed human disease network based on protein-protein interaction network

机译：基于蛋白质 - 蛋白质互动网络从重建的人类疾病网络中发现癌症相关的新药物靶蛋白

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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 [1]. 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.
机译：诸如高通量筛选的实验方法广泛用于发现新药物靶标。我们雇用了一种想法，即疾病相关的蛋白质倾向于是本研究中疾病网络建筑的重要因素。为了确定新的药物靶标蛋白，我们提出了一种通过使用信息技术分析人类疾病网络的新方法。我们基于蛋白质 - 蛋白质相互作用网络重新构建癌症相关的人类疾病网络。我们从疾病网络中衍生出105个癌症相关的新药物靶蛋白。为了评估我们的方法，首先，我们提取了与Barabasi等[1]引入的人类基因网络独立地获得的癌症相关的靶基因。与从药物银行中获得的癌症相关的靶基因数据集进行了癌症相关的靶基因和蛋白。我们的疾病相关网络的结果与来自药物银行的癌症相关的靶基因（164）具有81％的同一性。相反，来自人类基因网络的靶基因仅具有71％的同一性。这些结果表明，我们的新方法将有助于发现药物靶蛋白。

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