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Journal Abstract Search

196 related items for PubMed ID: 25847157

  • 1. Large-scale identification of potential drug targets based on the topological features of human protein-protein interaction network.
    Li ZC, Zhong WQ, Liu ZQ, Huang MH, Xie Y, Dai Z, Zou XY.
    Anal Chim Acta; 2015 Apr 29; 871():18-27. PubMed ID: 25847157
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  • 2. The analysis of the drug-targets based on the topological properties in the human protein-protein interaction network.
    Zhu M, Gao L, Li X, Liu Z, Xu C, Yan Y, Walker E, Jiang W, Su B, Chen X, Lin H.
    J Drug Target; 2009 Aug 29; 17(7):524-32. PubMed ID: 19530902
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  • 10. Identifying subcellular localizations of mammalian protein complexes based on graph theory with a random forest algorithm.
    Li ZC, Lai YH, Chen LL, Chen C, Xie Y, Dai Z, Zou XY.
    Mol Biosyst; 2013 Apr 05; 9(4):658-67. PubMed ID: 23429850
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  • 11. Identifying drug-target proteins based on network features.
    Zhu M, Gao L, Li X, Liu Z.
    Sci China C Life Sci; 2009 Apr 05; 52(4):398-404. PubMed ID: 19381466
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  • 13. Large-scale prediction of drug-target interactions using protein sequences and drug topological structures.
    Cao DS, Liu S, Xu QS, Lu HM, Huang JH, Hu QN, Liang YZ.
    Anal Chim Acta; 2012 Nov 08; 752():1-10. PubMed ID: 23101647
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  • 15. Boosting compound-protein interaction prediction by deep learning.
    Tian K, Shao M, Wang Y, Guan J, Zhou S.
    Methods; 2016 Nov 01; 110():64-72. PubMed ID: 27378654
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  • 17. Screening of drug target proteins by 2D ligand matching approach.
    Feng J, Guo H, Wang J, Lu T.
    Chem Biol Drug Des; 2014 Feb 01; 83(2):174-82. PubMed ID: 24034065
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  • 19. Drug-target interaction prediction by random walk on the heterogeneous network.
    Chen X, Liu MX, Yan GY.
    Mol Biosyst; 2012 Jul 06; 8(7):1970-8. PubMed ID: 22538619
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  • 20. Prediction of interactions between viral and host proteins using supervised machine learning methods.
    Barman RK, Saha S, Das S.
    PLoS One; 2014 Jul 06; 9(11):e112034. PubMed ID: 25375323
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