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Journal Abstract Search

531 related items for PubMed ID: 18280036

  • 21. QSPR studies of impact sensitivity of nitro energetic compounds using three-dimensional descriptors.
    Xu J, Zhu L, Fang D, Wang L, Xiao S, Liu L, Xu W.
    J Mol Graph Model; 2012 Jun; 36():10-9. PubMed ID: 22503858
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  • 22. Linear indices of the "molecular pseudograph's atom adjacency matrix": definition, significance-interpretation, and application to QSAR analysis of flavone derivatives as HIV-1 integrase inhibitors.
    Marrero-Ponce Y.
    J Chem Inf Comput Sci; 2004 Jun; 44(6):2010-26. PubMed ID: 15554670
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  • 23. The study of the relationship between the new topological index A(m) and the gas chromatographic retention indices of hydrocarbons by artificial neural networks.
    Li H, Zhang YX, Xu L.
    Talanta; 2005 Oct 15; 67(4):741-8. PubMed ID: 18970234
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  • 24. 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 15; 73(4):456-65. PubMed ID: 19291106
    [Abstract] [Full Text] [Related]

  • 25. Using general regression and probabilistic neural networks to predict human intestinal absorption with topological descriptors derived from two-dimensional chemical structures.
    Niwa T.
    J Chem Inf Comput Sci; 2003 Apr 15; 43(1):113-9. PubMed ID: 12546543
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  • 26. A novel QSPR model for prediction of lower flammability limits of organic compounds based on support vector machine.
    Pan Y, Jiang J, Wang R, Cao H, Cui Y.
    J Hazard Mater; 2009 Sep 15; 168(2-3):962-9. PubMed ID: 19329246
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  • 27. Quantitative structure migration relationship modeling of migration factor for some benzene derivatives in micellar electrokinetic chromatography.
    Fatemi MH, Shamseddin H, Malekzadeh H.
    J Sep Sci; 2009 Jun 15; 32(11):1934-40. PubMed ID: 19425021
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  • 28. Prediction of biological targets using probabilistic neural networks and atom-type descriptors.
    Niwa T.
    J Med Chem; 2004 May 06; 47(10):2645-50. PubMed ID: 15115405
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  • 35. A fuzzy ARTMAP-based quantitative structure-property relationship (QSPR) for the Henry's law constant of organic compounds.
    Yaffe D, Cohen Y, Espinosa G, Arenas A, Giralt F.
    J Chem Inf Comput Sci; 2003 May 06; 43(1):85-112. PubMed ID: 12546542
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  • 36. Anticancer activity of selected phenolic compounds: QSAR studies using ridge regression and neural networks.
    Nandi S, Vracko M, Bagchi MC.
    Chem Biol Drug Des; 2007 Nov 06; 70(5):424-36. PubMed ID: 17949360
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  • 38. Quantitative structure-retention relationship for the Kovats retention indices of a large set of terpenes: a combined data splitting-feature selection strategy.
    Hemmateenejad B, Javadnia K, Elyasi M.
    Anal Chim Acta; 2007 May 29; 592(1):72-81. PubMed ID: 17499073
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  • 40. General melting point prediction based on a diverse compound data set and artificial neural networks.
    Karthikeyan M, Glen RC, Bender A.
    J Chem Inf Model; 2005 May 29; 45(3):581-90. PubMed ID: 15921448
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