ADME/Tox Prediction - PowerPoint PPT Presentation

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ADME/Tox Prediction

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Profacgen strives to provide computational ADME prediction, toxicological and physicochemical properties, as well as the analysis and interpretation of the predicted data. – PowerPoint PPT presentation

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Title: ADME/Tox Prediction


1
ADME/Tox Prediction
2
  • The characterization of Absorption, Distribution,
    Metabolism, and Excretion (also known as ADME)
    and Toxicity are essential steps in drug
    development. ADME describes the disposition of a
    pharmaceutical compound within an organism, and
    has been applied in drug discovery to investigate
    the drug levels and kinetics of drug exposure to
    the tissues and hence influences the performance
    and pharmacological activity of the compound as a
    drug. It covers a lot of different assays
    investigating parameters such as membrane
    permeability, metabolic stability and toxicity.
    The ability to predict those properties rapidly
    and accurately from the 2D structures of the
    molecule is extremely helpful.

3
  • Profacgen strives to provide computational ADME
    prediction, toxicological and physicochemical
    properties, as well as the analysis and
    interpretation of the predicted data. We take
    advantage of the most state-of-the-art ADME and
    Tox property prediction computational methods and
    software tools to quickly and accurately predict
    over 100 properties including solubility, logP
    and pKa etc.

4
  • Profacgen has a group of scientists with in-depth
    understanding of structure-property
    relationships. We help calculate the ADMET
    characteristics for collections of molecules such
    as synthesis candidates or compound libraries and
    then get the assessment for your compounds.

5
Features
  • Inclusion of all microstates in pKa prediction
  • CYP metabolite generation
  • Confidence estimates for classification models
  • Creation of your own QSPR/QSAR models
  • Prediction of key oral and intravenous
    pharmacokinetic parameters (such as rate of
    metabolism etc.) and toxicity parameters (such as
    LD50 etc.) directly from the chemical 2D
    structure of compounds
  • Prediction models are trained using large,
    well-validated datasets

6
  • Thanks for watching!
  • Contact Profacgen
  • Address 45-1 Ramsey Road Shirley, NY 11967, USA
  • Website https//www.profacgen.com
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