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基于靶标识别的心脑血管潜在致病基因预测

Keywords: 靶标识别,网络药理学,网络节点分类,标签传播

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Abstract:

靶标识别是现代药物研发中的重要一环,针对具体疾病的靶标识别已经成为疾病新药研发的最重要问题。本文依照网络药理学的思想,采用复杂网络分析方法,构建了人类蛋白质反应网络和表型相似度网络,结合已知心脑血管相关靶标蛋白质,训练得到网络节点分类器,并以此预测新的潜在靶标。同以往的靶标发现方法相比,本文从一个新的角度对靶标识别问题重新建模求解。本文所提出的方法能够有效的预测心脑血管疾病潜在靶标基因,为新药研发提供有力的支撑。

References

[1]  Li S, Zhang Z Q, Wu L J, et al. Understanding ZHENG in traditional Chinese medicine in the context of neuro-endocrine-immune network[J]. Syst Biol, 2007,1(1):51.
[2]  Prado-Prado F J, Uriarte E, Borges F, et al. Multi-target spectral moments for QSAR and complex networks study of antibacterial drugs[J]. Eur J Med Chem, 2009,44(11):4516.
[3]  Wishart D S. Discovering drug targets through the web[J]. Comp Biochem Physiol D: Genomics Proteomics, 2007,2(1):9.
[4]  Yao X, Hao H, Li Y, et al. Modularity-based credible prediction of disease genes and detection of disease subtypes on the phenotype-gene heterogeneous network[J]. BMC Syst Biol, 2011,5(1):79.
[5]  Zhao J, Jiang P, Zhang W. Molecular networks for the study of TCM Pharmacology[J]. Brief Bioinform, 2010,11(4):417.
[6]  Tala B. Properties and identification of antibiotic drug targets[J]. BMC Bioinformatics, 2010,11(1):195.
[7]  Doyle M, Gasser R, Woodcroft B, et al. Drug target prediction and prioritization: using orthology to predict essentiality in parasite genomes[J]. BMC Genomics, 2010,11(1):222.
[8]  Wu X, Jiang R, Zhang M Q, et al. Network-based global inference of human disease genes[J]. Mol Syst Biol,2008,4(1):189.
[9]  Chu L H, Chen B S. Construction of a cancer-perturbed protein-protein interaction network for discovery of apoptosis drug targets[J]. BMC Syst Biol, 2008,2(1):56.
[10]  Keshava Prasad T S, Goel R, Kandasamy K, et al. Human protein reference database—2009 update[J]. Nucleic Acids Res, 2009,37(suppl 1):D767.
[11]  Bader G D, Betel D, Hogue C W V. BIND: the biomolecular interaction network database[J]. Nucleic Acids Res, 2003,31(1):248.
[12]  Alfarano C, Andrade C E, Anthony K, et al. The biomolecular interaction network database and related tools 2005 update[J]. Nucleic Acids Res, 2005,33(suppl 1):D418.
[13]  Xenarios I, Salwinski L, Duan X J, et al. DIP, the database of interacting proteins: a research tool for studying cellular networks of protein interactions[J]. Nucleic Acids Res, 2002,30(1):303.
[14]  Aranda B, Achuthan P, Alam-Faruque Y, et al. The IntAct molecular interaction database in 2010[J]. Nucleic Acids Res, 2010,38(suppl 1):D525.
[15]  Ceol A, Chatr Aryamontri A, Licata L, et al. MINT, the molecular interaction database: 2009 update[J]. Nucleic Acids Res, 2010,38(suppl 1):D532.
[16]  Csermely P, Agoston V, Pongor S. The efficiency of multi-target drugs: the network approach might help drug design[J]. Trends Pharmacol Sci, 2005,26(4):178.
[17]  Andrés F, Daeui P, Jong B, et al. Protein network prediction and topological analysis in Leishmania major as a tool for drug target selection[J]. BMC Bioinformatics, 2010,11:484.
[18]  Hamosh A, Scott A F, Amberger J S, et al. Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders[J]. Nucleic Acids Res, 2005,33(suppl 1):D514.
[19]  Knox C, Law V, Jewison T, et al. DrugBank 3. 0: a comprehensive resource for \'Omics\' research on drugs[J]. Nucleic Acids Res, 2011,39(suppl 1):D1035.
[20]  Pedro C, Ney L. A machine learning approach for genome-wide prediction of morbid and druggable human genes based on systems-level data[J]. BMC Genomics, 2010,11(S5):S9.
[21]  Xu J, Li Y. Discovering disease-genes by topological features in human protein-protein interaction network[J]. Bioinformatics, 2006,22(22):2800.
[22]  Zhou D, Bousquet O, Lal T N, et al. Learning with local and global consistency[J]. Adv Neural Inform Proc Syst, 2004,16:321.
[23]  Gui J, Huang D S, You Z. An improvement on learning with local and global consistency[C]. Tampa: 19th International Conference on IEEE,2008.
[24]  Li M, Zhang X, Wang X. An improved learning with local and global consistency[C]. Xuzhou:Control and Delision Conference of IEEE, 2010.

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