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Journal Abstract Search

117 related items for PubMed ID: 22242867

  • 1. QSAR and ANN for the estimation of water solubility of 209 polychlorinated trans-azobenzenes.
    Wilczyńska-Piliszek AJ, Piliszek S, Falandysz J.
    J Environ Sci Health A Tox Hazard Subst Environ Eng; 2012; 47(2):155-66. PubMed ID: 22242867
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  • 2. Use of quantitative-structure property relationship (QSPR) and artificial neural network (ANN) based approaches for estimating the octanol-water partition coefficients of the 209 chlorinated trans-azobenzene congeners.
    Wilczyńska-Piliszek AJ, Piliszek S, Falandysz J.
    J Environ Sci Health B; 2012; 47(2):111-28. PubMed ID: 22251211
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  • 3. The aqueous solubility of some herbicidal by-side toxic impurities: predicted data of the 399 chlorinated trans-azoxybenzene congeners.
    Piliszek S, Wilczyńska-Piliszek AJ, Falandysz J.
    J Environ Sci Health B; 2012; 47(4):275-87. PubMed ID: 22428889
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  • 4. QSPR models for prediction of the soil sorption coefficient (log KOC) values of 209 polychlorinated trans-azobenzenes (PCt-ABs).
    Wilczyńska-Piliszek AJ, Piliszek S, Falandysz J.
    J Environ Sci Health A Tox Hazard Subst Environ Eng; 2012; 47(3):441-9. PubMed ID: 22320697
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  • 5. N-octanol-water partition coefficients (log K(OW)) of 399 congeners of polychlorinated azoxybenzenes (PCAOBs) determined by QSPR- and ANN-based approach.
    Piliszek S, Wilczyńska-Piliszek AJ, Falandysz J.
    J Environ Sci Health A Tox Hazard Subst Environ Eng; 2011; 46(14):1748-62. PubMed ID: 22175879
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  • 7. Estimation of K(OA) values of 209 polychlorinated trans-azobenzenes by PM6 and DFT methods.
    Wilczyńska-Piliszek AJ, Piliszek S, Falandysz J.
    J Environ Sci Health B; 2012; 47(6):562-70. PubMed ID: 22494380
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  • 11. Selection of representative congener for polychlorinated trans-azobenzenes (PCt-ABs) based on comprehensive thermodynamical and quantum-chemical characterization.
    Wilczyńska-Piliszek AJ, Puzyn T, Piliszek S, Falandysz J.
    J Environ Sci Health B; 2006; 41(7):1131-42. PubMed ID: 16923596
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  • 12. Calculation of quantum-mechanical descriptors for QSPR at the DFT level: is it necessary?
    Puzyn T, Suzuki N, Haranczyk M, Rak J.
    J Chem Inf Model; 2008 Jun; 48(6):1174-80. PubMed ID: 18510372
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  • 14. Measurement and ANN prediction of pH-dependent solubility of nitrogen-heterocyclic compounds.
    Sun F, Yu Q, Zhu J, Lei L, Li Z, Zhang X.
    Chemosphere; 2015 Sep; 134():402-7. PubMed ID: 25985098
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  • 16. Prediction of environmental partition coefficients and the Henry's law constants for 135 congeners of chlorodibenzothiophene.
    Puzyn T, Rostkowski P, Swieczkowski A, Jedrusiak A, Falandysz J.
    Chemosphere; 2006 Mar; 62(11):1817-28. PubMed ID: 16214201
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  • 19. Prediction of the aqueous solubility of benzylamine salts using QSPR model.
    Tantishaiyakul V.
    J Pharm Biomed Anal; 2005 Feb 23; 37(2):411-5. PubMed ID: 15708687
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  • 20. Externally predictive quantitative modeling of supercooled liquid vapor pressure of polychlorinated-naphthalenes through electron-correlation based quantum-mechanical descriptors.
    Vikas, Chayawan.
    Chemosphere; 2014 Jan 23; 95():448-54. PubMed ID: 24168755
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