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Journal Abstract Search

516 related items for PubMed ID: 17350867

  • 1. Prediction of cytotoxicity data (CC(50)) of anti-HIV 5-phenyl-1-phenylamino-1H-imidazole derivatives by artificial neural network trained with Levenberg-Marquardt algorithm.
    Arab Chamjangali M, Beglari M, Bagherian G.
    J Mol Graph Model; 2007 Jul; 26(1):360-7. PubMed ID: 17350867
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  • 2. Modelling of cytotoxicity data (CC50) of anti-HIV 1-[5-chlorophenyl) sulfonyl]-1H-pyrrole derivatives using calculated molecular descriptors and Levenberg-Marquardt artificial neural network.
    Arab Chamjangali M.
    Chem Biol Drug Des; 2009 Apr; 73(4):456-65. PubMed ID: 19291106
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  • 3. Wavelet neural network modeling in QSPR for prediction of solubility of 25 anthraquinone dyes at different temperatures and pressures in supercritical carbon dioxide.
    Tabaraki R, Khayamian T, Ensafi AA.
    J Mol Graph Model; 2006 Sep; 25(1):46-54. PubMed ID: 16337156
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  • 4. QSAR by LFER model of cytotoxicity data of anti-HIV 5-phenyl-1-phenylamino-1H-imidazole derivatives using principal component factor analysis and genetic function approximation.
    Roy K, Leonard JT.
    Bioorg Med Chem; 2005 Apr 15; 13(8):2967-73. PubMed ID: 15781406
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  • 5. Prediction of anti-HIV-1 activity of a series of tetrapyrrole molecules.
    Vanyúr R, Héberger K, Jakus J.
    J Chem Inf Comput Sci; 2003 Apr 15; 43(6):1829-36. PubMed ID: 14632429
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  • 14. Modeling of cyclin-dependent kinase inhibition by 1H-pyrazolo[3,4-d]pyrimidine derivatives using artificial neural network ensembles.
    Fernández M, Tundidor-Camba A, Caballero J.
    J Chem Inf Model; 2005 Apr 15; 45(6):1884-95. PubMed ID: 16309296
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  • 15. Linear and non-linear quantitative structure-activity relationship models on indole substitution patterns as inhibitors of HIV-1 attachment.
    Nirouei M, Ghasemi G, Abdolmaleki P, Tavakoli A, Shariati S.
    Indian J Biochem Biophys; 2012 Jun 15; 49(3):202-10. PubMed ID: 22803336
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  • 16. 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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  • 17. Modeling the activity of furin inhibitors using artificial neural network.
    Worachartcheewan A, Nantasenamat C, Naenna T, Isarankura-Na-Ayudhya C, Prachayasittikul V.
    Eur J Med Chem; 2009 Apr 15; 44(4):1664-73. PubMed ID: 18977558
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  • 18. Prediction of capillary gas chromatographic retention times of fatty acid methyl esters in human blood using MLR, PLS and back-propagation artificial neural networks.
    Gupta VK, Khani H, Ahmadi-Roudi B, Mirakhorli S, Fereyduni E, Agarwal S.
    Talanta; 2011 Jan 15; 83(3):1014-22. PubMed ID: 21147352
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