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Journal Abstract Search

92 related items for PubMed ID: 27477097

  • 1. QSPR Prediction of Lipophilicity for Organic Compounds Using Random Forest Technique on the Basis of Simplex Representation of Molecular Structure.
    Ognichenko LN, Kuz'min VE, Gorb L, Hill FC, Artemenko AG, Polischuk PG, Leszczynski J.
    Mol Inform; 2012 Apr; 31(3-4):273-80. PubMed ID: 27477097
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  • 2. Application of Random Forest and Multiple Linear Regression Techniques to QSPR Prediction of an Aqueous Solubility for Military Compounds.
    Kovdienko NA, Polishchuk PG, Muratov EN, Artemenko AG, Kuz'min VE, Gorb L, Hill F, Leszczynski J.
    Mol Inform; 2010 May 17; 29(5):394-406. PubMed ID: 27463195
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  • 3. Application of random forest approach to QSAR prediction of aquatic toxicity.
    Polishchuk PG, Muratov EN, Artemenko AG, Kolumbin OG, Muratov NN, Kuz'min VE.
    J Chem Inf Model; 2009 Nov 17; 49(11):2481-8. PubMed ID: 19860412
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  • 4. Free variable selection QSPR study to predict (19)F chemical shifts of some fluorinated organic compounds using Random Forest and RBF-PLS methods.
    Goudarzi N.
    Spectrochim Acta A Mol Biomol Spectrosc; 2016 Apr 05; 158():60-4. PubMed ID: 26820549
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  • 9. QSPR modeling of octanol/water partition coefficient for vitamins by optimal descriptors calculated with SMILES.
    Toropov AA, Toropova AP, Raska I.
    Eur J Med Chem; 2008 Apr 05; 43(4):714-40. PubMed ID: 17629592
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  • 15. QSPR modelling of dielectric constants of π-conjugated organic compounds by means of the CORAL software.
    Achary PG.
    SAR QSAR Environ Res; 2014 Apr 05; 25(6):507-26. PubMed ID: 24716837
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  • 17. Quantitative structure-property relationship study of n-octanol-water partition coefficients of some of diverse drugs using multiple linear regression.
    Ghasemi J, Saaidpour S.
    Anal Chim Acta; 2007 Dec 05; 604(2):99-106. PubMed ID: 17996529
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