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Journal Abstract Search

146 related items for PubMed ID: 23152964

  • 1. Towards in silico identification of the human ether-a-go-go-related gene channel blockers: discriminative vs. generative classification models.
    Kireeva N, Kuznetsov SL, Bykov AA, Tsivadze AY.
    SAR QSAR Environ Res; 2013; 24(2):103-17. PubMed ID: 23152964
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  • 2. A comprehensive support vector machine binary hERG classification model based on extensive but biased end point hERG data sets.
    Shen MY, Su BH, Esposito EX, Hopfinger AJ, Tseng YJ.
    Chem Res Toxicol; 2011 Jun 20; 24(6):934-49. PubMed ID: 21504223
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  • 4. Insights for human ether-a-go-go-related gene potassium channel inhibition using recursive partitioning and Kohonen and Sammon mapping techniques.
    Ekins S, Balakin KV, Savchuk N, Ivanenkov Y.
    J Med Chem; 2006 Aug 24; 49(17):5059-71. PubMed ID: 16913696
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  • 9. A composite model for HERG blockade.
    Kramer C, Beck B, Kriegl JM, Clark T.
    ChemMedChem; 2008 Feb 24; 3(2):254-65. PubMed ID: 18061919
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  • 13. Prospective validation of a comprehensive in silico hERG model and its applications to commercial compound and drug databases.
    Doddareddy MR, Klaasse EC, Shagufta, Ijzerman AP, Bender A.
    ChemMedChem; 2010 May 03; 5(5):716-29. PubMed ID: 20349498
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  • 14. Classification models for HERG inhibitors by counter-propagation neural networks.
    Thai KM, Ecker GF.
    Chem Biol Drug Des; 2008 Oct 03; 72(4):279-89. PubMed ID: 18844674
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  • 15. Support vector machines classification of hERG liabilities based on atom types.
    Jia L, Sun H.
    Bioorg Med Chem; 2008 Jun 01; 16(11):6252-60. PubMed ID: 18448342
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  • 18. In silico prediction of hERG inhibition.
    Jing Y, Easter A, Peters D, Kim N, Enyedy IJ.
    Future Med Chem; 2015 Jun 01; 7(5):571-86. PubMed ID: 25921399
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