Browsing by Model type "Ensemble model (classification)"

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Browsing by Model type "Ensemble model (classification)"

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  • Daga, P. ADMET Predictor - Bacterial mutagenicity model (MUT_100). 2020. 
    Published: Michael Lawless (2021-09-02)
    Abstract: MUT_100 The Ames bacterial mutagenicity test is an important regulatory screen for potential carcinogenicity. In silico prediction of Ames positivity plays two important but somewhat distinct roles in the discovery and development of biologically active compounds. A positive Ames test does not necessarily derail development of an active ingredient (AI), because ...
    HumanHealth Classification QMRF
  • Daga, P. ADMET Predictor - Bacterial mutagenicity model (MUT_97+1537). 2020. 
    Published: Michael Lawless (2021-09-02)
    Abstract: MUT_97+1537 The Ames bacterial mutagenicity test is an important regulatory screen for potential carcinogenicity. In silico prediction of Ames positivity plays two important but somewhat distinct roles in the discovery and development of biologically active compounds. A positive Ames test does not necessarily derail development of an active ingredient (AI), ...
    HumanHealth Classification QMRF
  • Daga, P. ADMET Predictor - Bacterial mutagenicity model (MUT_98). 2020. 
    Published: Michael Lawless (2021-09-02)
    Abstract: MUT_98 The Ames bacterial mutagenicity test is an important regulatory screen for potential carcinogenicity. In silico prediction of Ames positivity plays two important but somewhat distinct roles in the discovery and development of biologically active compounds. A positive Ames test does not necessarily derail development of an active ingredient (AI), because ...
    HumanHealth Classification QMRF
  • Daga, P. ADMET Predictor - Bacterial mutagenicity model (MUT_m100). 2020. 
    Published: Michael Lawless (2021-09-02)
    Abstract: MUT_m100 The Ames bacterial mutagenicity test is an important regulatory screen for potential carcinogenicity. In silico prediction of Ames positivity plays two important but somewhat distinct roles in the discovery and development of biologically active compounds. A positive Ames test does not necessarily derail development of an active ingredient (AI), ...
    HumanHealth Classification QMRF
  • Daga, P. ADMET Predictor - Bacterial mutagenicity model (MUT_m102+wp2). 2020. 
    Published: Michael Lawless (2021-09-02)
    Abstract: MUT_m102+wp2 The Ames bacterial mutagenicity test is an important regulatory screen for potential carcinogenicity. In silico prediction of Ames positivity plays two important but somewhat distinct roles in the discovery and development of biologically active compounds. A positive Ames test does not necessarily derail development of an active ingredient (AI), ...
    HumanHealth Classification QMRF
  • Daga, P. ADMET Predictor - Bacterial mutagenicity model (MUT_m1535). 2020. 
    Published: Michael Lawless (2021-09-02)
    Abstract: MUT_m1535 The Ames bacterial mutagenicity test is an important regulatory screen for potential carcinogenicity. In silico prediction of Ames positivity plays two important but somewhat distinct roles in the discovery and development of biologically active compounds. A positive Ames test does not necessarily derail development of an active ingredient (AI), ...
    HumanHealth Classification QMRF
  • Daga, P. ADMET Predictor - Bacterial mutagenicity model (MUT_m98). 2020. 
    Published: Michael Lawless (2021-09-02)
    Abstract: MUT_m98 The Ames bacterial mutagenicity test is an important regulatory screen for potential carcinogenicity. In silico prediction of Ames positivity plays two important but somewhat distinct roles in the discovery and development of biologically active compounds. A positive Ames test does not necessarily derail development of an active ingredient (AI), because ...
    HumanHealth Classification QMRF
  • Daga, P. ADMET Predictor - Bacterial mutagenicity model (MUT_NIHS). 2020. 
    Published: Michael Lawless (2021-09-02)
    Abstract: MUT_NIHS The Ames bacterial mutagenicity test is an important regulatory screen for potential carcinogenicity. In silico prediction of Ames positivity plays two important but somewhat distinct roles in the discovery and development of biologically active compounds. A positive Ames test does not necessarily derail development of an active ingredient (AI), ...
    HumanHealth Classification QMRF
  • Daga, P. ADMET Predictor - Bacterial mutagenicity model (MUT_Risk). 2020. 
    Published: Michael Lawless (2021-09-02)
    Abstract: MUT_Risk Abstract The Ames bacterial mutagenicity test is an important regulatory screen for potential carcinogenicity. In silico prediction of Ames positivity plays two important but somewhat distinct roles in the discovery and development of biologically active compounds. A positive Ames test does not necessarily derail development of an active ingredient ...
    HumanHealth Classification QMRF
  • Oja, M.; Sild, S.; Maran, U. Logistic Classification Models for pH-Permeability Profile: Predicting Permeability Classes for the Biopharmaceutical Classification System. J. Chem. Inf. Model. 2019, 59, 2442-2455. 
    Published: Mare Oja, Sulev Sild, Uko Maran (2019-02-21)
    Abstract: Permeability is used to describe and evaluate the absorption of drug substances in the human gastrointestinal tract (GIT). Permeability is largely dependent on fluctuating pH that causes the ionization of drug substances and also influences regional absorption in the GIT. Therefore, classification models that characterize permeability at wide range of pH-s ...
    Toxicokinetics Classification DescriptorCalculation