🦠 Model Request: Mozfest Antimalarial Model

[miquelduranfrigola]

Model Name

Mozfest Antimalarial Model

Model Description

Prediction of the antimalarial potential of small molecules. This model was originally trained on proprietary data from various sources, up to a total of >7M compounds. The training sets belong to Evotec, Johns Hopkins, MRCT, MMV - St. Jude, AZ, GSK, and St. Jude Vendor Library. In this implementation, we have used a teacher-student approach to train a surrogate model based on ChEMBL data (2M molecules) to provide a lite downloadable version of the original MAIP

Slug

mozfest-antimalarial-model-test

Tag

Malaria,P.falciparum

Publication

https://jcheminf.biomedcentral.com/articles/10.1186/s13321-021-00487-2

Source Code

https://jcheminf.biomedcentral.com/articles/10.1186/s13321-021-00487-2

License

MIT

[miquelduranfrigola]

This model is very interesting! Let's work on it!

[miquelduranfrigola]

/approve

[github-actions[bot]]

New Model Repository Created! 🎉

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

🔗 ersilia-os/eos74nf

Next Steps ⭐

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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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