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Description

FAME3R is a random forest model predicting the phase 1 and phase 2 sites of metabolism (SOMs) in small organic molecules. SOMs are atoms where a metabolic reaction gets initiated and, thus, are a good starting point for determining the metabolic fate of xenobiotic compounds.

Documentation

The documentation, including installation instructions, tutorials for using the software, and full Python API documentation can be found online on GitHub Pages.

Models

We provide access to FAME3R SOM classifier models trained on data derived from the proprietary MetaQSAR database. The models are freely available for non-commercial research via our Zenodo repository.

Citation

Please refer to the Citation section in our documentation.

License

Unless otherwise noted, all files in this directory and all subdirectories are distributed under the MIT License.

Metadata

Release files for fame3r 2.1.0

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Source distribution for fame3r 2.1.0
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fame3r-2.1.0-py3-none-any.whl Python 3 none any Details

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2.1.0 This release

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2.0.0

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1.0.4

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