🦠 Model Request: OSM Models

[GemmaTuron]

Model Name

Antimalarial activity from OSM

Model Description

This model predicts the antimalarial potential of small molecules in vitro. We have collected the data available from the Open Source Malaria Series 4 molecules and used two cut-offs to define activity, 1 uM and 2.5 uM. The training has been done with the LazyQSAR package (Morgan Binary Classifier) and shows an AUROC >0.8 in a 5-fold cross-validation on 20% of the data held out as test. These models have been used to generate new series 4 candidates by Ersilia.

Slug

osm-series4

Tag

Malaria,P.falciparum,IC50

Publication

https://pubs.acs.org/doi/10.1021/acscentsci.6b00086

Source Code

https://github.com/ersilia-os/lazy-qsar

License

GPL-3.0

[GemmaTuron]

/approve

[github-actions[bot]]

New Model Repository Created! 🎉

@GemmaTuron ersilia model respository has been successfully created and is available at:

🔗 ersilia-os/eos7yti

Next Steps ⭐

Now that your new model respository has been created, you are ready to start contributing to it!

Here are some brief starter steps for contributing to your new model repository:

Note: Many of the bullet points below will have extra links if this is your first time contributing to a GitHub repository

• 🍴 Get started by creating a fork of your new model repository - docs
• 👯 Clone your forked repository - docs
• ✏️ Make edits to your new forked model repository - docs - Edits might include:
  • Updating the README.md file to accurately describe your model
  • Add source code for your model
  • Adding documentation for your model
• 🚀 Open a Pull Request from your forked repository to the original repository. This will allow you to bring your local changes into the new ersilia model repository that was just created! - docs

Additional Resources 📚

• CONTRIBUTING.md
• About Pull Requests
• About Forks

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[GemmaTuron]

This model is incorporated