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Machine Learning models for in vitro enzyme kinetic parameter prediction

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CatPred

CatPred is a framework for deep learning of in vitro enzyme kinetic parameters.

Installation

pip install catpred

For development or to run the test suite:

pip install -e .[test,docs]

Quickstart

from catpred import InferenceRunner

runner = InferenceRunner({"checkpoint_paths": ["model.pt"]})
# runner.prepare()
# preds = runner.run([["CCO"]])

See the examples directory for sample inputs.

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Machine Learning models for in vitro enzyme kinetic parameter prediction

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  • Python 65.9%
  • Jupyter Notebook 29.4%
  • Shell 4.6%
  • Dockerfile 0.1%