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    Results: 1 to 20 of 106

    1.

    DPRESS: Localizing estimates of predictive uncertainty.

    Clark RD.

    J Cheminform. 2009 Jul 14;1(1):11.

    PMID:
    20298517
    [PubMed]
    Free PMC Article
    2.

    Combinatorial QSAR of ambergris fragrance compounds.

    Kovatcheva A, Golbraikh A, Oloff S, Xiao YD, Zheng W, Wolschann P, Buchbauer G, Tropsha A.

    J Chem Inf Comput Sci. 2004 Mar-Apr;44(2):582-95.

    PMID:
    15032539
    [PubMed - indexed for MEDLINE]
    3.

    Rank order entropy: why one metric is not enough.

    McLellan MR, Ryan MD, Breneman CM.

    J Chem Inf Model. 2011 Sep 26;51(9):2302-19. Epub 2011 Aug 29.

    PMID:
    21875058
    [PubMed - indexed for MEDLINE]
    4.

    Prediction of vapour pressures for halogenated diphenyl ether congeners from molecular descriptors.

    Oberg TG.

    Environ Sci Pollut Res Int. 2002;9(6):405-11.

    PMID:
    12515349
    [PubMed - indexed for MEDLINE]
    5.

    kappa Nearest neighbors QSAR modeling as a variational problem: theory and applications.

    Itskowitz P, Tropsha A.

    J Chem Inf Model. 2005 May-Jun;45(3):777-85.

    PMID:
    15921467
    [PubMed - indexed for MEDLINE]
    7.

    Final Report on Carcinogens Background Document for Formaldehyde.

    National Toxicology Program.

    Rep Carcinog Backgr Doc. 2010 Jan;(10-5981):i-512.

    PMID:
    20737003
    [PubMed - as supplied by publisher]
    8.

    Extending the trend vector: the trend matrix and sample-based partial least squares.

    Sheridan RP, Nachbar RB, Bush BL.

    J Comput Aided Mol Des. 1994 Jun;8(3):323-40. Erratum in: J Comput Aided Mol Des 1994 Oct;8(5):following 633.

    PMID:
    7964931
    [PubMed - indexed for MEDLINE]
    9.

    Comparative chemometric modeling of cytochrome 3A4 inhibitory activity of structurally diverse compounds using stepwise MLR, FA-MLR, PLS, GFA, G/PLS and ANN techniques.

    Roy K, Pratim Roy P.

    Eur J Med Chem. 2009 Jul;44(7):2913-22. Epub 2008 Dec 16.

    PMID:
    19128860
    [PubMed - indexed for MEDLINE]
    10.

    Antitumor agents. 213. Modeling of epipodophyllotoxin derivatives using variable selection k nearest neighbor QSAR method.

    Xiao Z, Xiao YD, Feng J, Golbraikh A, Tropsha A, Lee KH.

    J Med Chem. 2002 May 23;45(11):2294-309.

    PMID:
    12014968
    [PubMed - indexed for MEDLINE]
    11.

    Predictive QSAR modeling of CCR5 antagonist piperidine derivatives using chemometric tools.

    Roy K, Mandal AS.

    J Enzyme Inhib Med Chem. 2009 Feb;24(1):205-23.

    PMID:
    18608745
    [PubMed - indexed for MEDLINE]
    12.

    Combinatorial QSAR modeling of specificity and subtype selectivity of ligands binding to serotonin receptors 5HT1E and 5HT1F.

    Wang XS, Tang H, Golbraikh A, Tropsha A.

    J Chem Inf Model. 2008 May;48(5):997-1013. Epub 2008 May 10.

    PMID:
    18470978
    [PubMed - indexed for MEDLINE]
    13.

    Development of predictive 3D-QSAR CoMFA and CoMSIA models for beta-aminohydroxamic acid-derived tumor necrosis factor-alpha converting enzyme inhibitors.

    Murumkar PR, Gupta SD, Zambre VP, Giridhar R, Yadav MR.

    Chem Biol Drug Des. 2009 Jan;73(1):97-107.

    PMID:
    19152638
    [PubMed - indexed for MEDLINE]
    14.

    Application of validated QSAR models of D1 dopaminergic antagonists for database mining.

    Oloff S, Mailman RB, Tropsha A.

    J Med Chem. 2005 Nov 17;48(23):7322-32.

    PMID:
    16279792
    [PubMed - indexed for MEDLINE]
    15.

    In silico binary classification QSAR models based on 4D-fingerprints and MOE descriptors for prediction of hERG blockage.

    Su BH, Shen MY, Esposito EX, Hopfinger AJ, Tseng YJ.

    J Chem Inf Model. 2010 Jul 26;50(7):1304-18.

    PMID:
    20565102
    [PubMed - indexed for MEDLINE]
    16.

    Application of predictive QSAR models to database mining: identification and experimental validation of novel anticonvulsant compounds.

    Shen M, Béguin C, Golbraikh A, Stables JP, Kohn H, Tropsha A.

    J Med Chem. 2004 Apr 22;47(9):2356-64.

    PMID:
    15084134
    [PubMed - indexed for MEDLINE]
    17.

    QSAR--how good is it in practice? Comparison of descriptor sets on an unbiased cross section of corporate data sets.

    Gedeck P, Rohde B, Bartels C.

    J Chem Inf Model. 2006 Sep-Oct;46(5):1924-36.

    PMID:
    16995723
    [PubMed - indexed for MEDLINE]
    18.

    Combinatorial QSAR modeling of chemical toxicants tested against Tetrahymena pyriformis.

    Zhu H, Tropsha A, Fourches D, Varnek A, Papa E, Gramatica P, Oberg T, Dao P, Cherkasov A, Tetko IV.

    J Chem Inf Model. 2008 Apr;48(4):766-84. Epub 2008 Mar 1.

    PMID:
    18311912
    [PubMed - indexed for MEDLINE]
    20.

    Differentiation of AmpC beta-lactamase binders vs. decoys using classification kNN QSAR modeling and application of the QSAR classifier to virtual screening.

    Hsieh JH, Wang XS, Teotico D, Golbraikh A, Tropsha A.

    J Comput Aided Mol Des. 2008 Sep;22(9):593-609. Epub 2008 Mar 13.

    PMID:
    18338225
    [PubMed - indexed for MEDLINE]

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