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Journal Abstract Search

203 related items for PubMed ID: 17261034

  • 21. Application of genetic algorithm-support vector machine (GA-SVM) for prediction of BK-channels activity.
    Pourbasheer E, Riahi S, Ganjali MR, Norouzi P.
    Eur J Med Chem; 2009 Dec; 44(12):5023-8. PubMed ID: 19837488
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  • 24. ADMET Evaluation in Drug Discovery. 16. Predicting hERG Blockers by Combining Multiple Pharmacophores and Machine Learning Approaches.
    Wang S, Sun H, Liu H, Li D, Li Y, Hou T.
    Mol Pharm; 2016 Aug 01; 13(8):2855-66. PubMed ID: 27379394
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  • 25. Prediction of cytochrome P450 2B6-substrate interactions using pharmacophore ensemble/support vector machine (PhE/SVM) approach.
    Leong MK, Chen TH.
    Med Chem; 2008 Jul 01; 4(4):396-406. PubMed ID: 18673154
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  • 26. Computer simulations of structure-activity relationships for HERG channel blockers.
    Boukharta L, Keränen H, Stary-Weinzinger A, Wallin G, de Groot BL, Aqvist J.
    Biochemistry; 2011 Jul 12; 50(27):6146-56. PubMed ID: 21657256
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  • 27. Prediction of P-glycoprotein substrates by a support vector machine approach.
    Xue Y, Yap CW, Sun LZ, Cao ZW, Wang JF, Chen YZ.
    J Chem Inf Comput Sci; 2004 Jul 12; 44(4):1497-505. PubMed ID: 15272858
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  • 30. A novel QSAR model for prediction of apoptosis-inducing activity of 4-aryl-4-H-chromenes based on support vector machine.
    Fatemi MH, Gharaghani S.
    Bioorg Med Chem; 2007 Dec 15; 15(24):7746-54. PubMed ID: 17870538
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  • 31. Support vector machine-based quantitative structure-activity relationship study of cholesteryl ester transfer protein inhibitors.
    Riahi S, Pourbasheer E, Ganjali MR, Norouzi P.
    Chem Biol Drug Des; 2009 May 15; 73(5):558-71. PubMed ID: 19323654
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  • 32. QSAR modeling of human serum protein binding with several modeling techniques utilizing structure-information representation.
    Votano JR, Parham M, Hall LM, Hall LH, Kier LB, Oloff S, Tropsha A.
    J Med Chem; 2006 Nov 30; 49(24):7169-81. PubMed ID: 17125269
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  • 33. Prediction of intrinsic solubility of generic drugs using MLR, ANN and SVM analyses.
    Louis B, Agrawal VK, Khadikar PV.
    Eur J Med Chem; 2010 Sep 30; 45(9):4018-25. PubMed ID: 20584562
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  • 34. Common pharmacophores for uncharged human ether-a-go-go-related gene (hERG) blockers.
    Aronov AM.
    J Med Chem; 2006 Nov 16; 49(23):6917-21. PubMed ID: 17154521
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  • 35. Exploring QSTR and toxicophore of hERG K+ channel blockers using GFA and HypoGen techniques.
    Garg D, Gandhi T, Gopi Mohan C.
    J Mol Graph Model; 2008 Feb 16; 26(6):966-76. PubMed ID: 17928249
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  • 39. Predictive QSAR models development and validation for human ether-a-go-go related gene (hERG) blockers using newer tools.
    Moorthy NS, Ramos MJ, Fernandes PA.
    J Enzyme Inhib Med Chem; 2014 Jun 16; 29(3):317-24. PubMed ID: 23560722
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  • 40. Drug discovery using support vector machines. The case studies of drug-likeness, agrochemical-likeness, and enzyme inhibition predictions.
    Zernov VV, Balakin KV, Ivaschenko AA, Savchuk NP, Pletnev IV.
    J Chem Inf Comput Sci; 2003 Jun 16; 43(6):2048-56. PubMed ID: 14632457
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