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A random forest classification model for degraded BLG deamidation. A multi-level system for deamidation hotspots, asparagine vs glutamine clustering and protein level authentication using trypsin as the baseline

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Anubis: a multi-level authentication scale for ancient proteins using random forest classification


anubis_workflow

Quick start

  • Go to anubis_v1 folder and choose to open .ipynb files in Colab
  • A Github account will be needed for authorisation. Go to Github and get one if you haven't >_<

Documentation

  • under construction but please see Notebooks' annotations

FAQs

  1. Could I use the BLG model for other proteins?
    well it is not recommended cos physical-chemical features (atom coordinates) were based on a BLG structure file.
  2. Do I need a Google Colab subscription?
    Anubis is lightweight and a normal CPU runtime is sufficient (with no subscriptions).
  3. Do I need a Google account?
    May make life easier. Colab can also access files in your Google drive (with permission).
  4. Help! Still unsure how to use Anubis.
    Open an issue or get in touch with me (preprint)

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A random forest classification model for degraded BLG deamidation. A multi-level system for deamidation hotspots, asparagine vs glutamine clustering and protein level authentication using trypsin as the baseline

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