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    KinoML
    • User guide
    • API Reference
    • OpenKinome
    KinoML
    • User guide
    • Getting started with KinoML
    • KinoML object model
    • OpenEye Structural Featurizer
    • Schrodinger Structural Featurizer
    • Experiment tutorials
    • Ligand-only SMILES experiment
    • Ligand-only morgan 1024 experiment
    • Kinase informed SMILES experiment
    • Kinase informed morgan 1024 experiment
    • Developers
    • API Reference
      • kinoml
        • Submodules
        • Package Contents
          • versions
          • __version__
          • __git_revision__
      • Show Source
      • Submodules
        • kinoml.analysis
        • kinoml.core
        • kinoml.databases
        • kinoml.datasets
        • kinoml.docking
        • kinoml.features
        • kinoml.ml
        • kinoml.modeling
        • kinoml.optimize
        • kinoml.utils
        • kinoml.workflows
      • Package Contents
        • versions
        • __version__
        • __git_revision__
    • kinoml
      • Submodules
      • Package Contents
        • versions
        • __version__
        • __git_revision__
    • Show Source

    kinoml¶

    KinoML is a structure-informed machine learning library with a focus on kinase modeling

    Submodules¶

    • kinoml.analysis
    • kinoml.core
    • kinoml.databases
    • kinoml.datasets
    • kinoml.docking
    • kinoml.features
    • kinoml.ml
    • kinoml.modeling
    • kinoml.optimize
    • kinoml.utils
    • kinoml.workflows

    Package Contents¶

    kinoml.versions¶
    kinoml.__version__¶
    kinoml.__git_revision__¶
    "Previous" Kinase informed morgan 1024 experiment
    "Next" kinoml.analysis
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