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🦠 Model Request: Antimicrobial class specificity prediction #1456
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/approve |
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/approve |
New Model Repository Created! 🎉@miquelduranfrigola ersilia model respository has been successfully created and is available at: 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:
Additional Resources 📚If you have any questions, please feel free to open an issue and get support from the community! |
Workflow Failure ❌@ (or other maintainers) the You may need to delete the following repo that was created via this workflow run since the run was not fully successful: ersilia-os/eos2fr7 |
I will update the actions @miquelduranfrigola. |
Model Name
Antimicrobial class specificity prediction
Model Description
Prediction of antimicrobial class specificity using simple machine learning methods applied to an antimicrobial knowledge graph. The knowledge graph is built on ChEMBL, Co-ADD and SPARK. Endpoints are broad terms such as activity agains gram-positive or gram-negative bacteria.
Slug
antimicrobial-kg-ml
Tag
Antimicrobial activity
Publication
https://www.biorxiv.org/content/10.1101/2024.12.02.626313v1.full
Source Code
https://github.com/IMI-COMBINE/broad_spectrum_prediction
License
MIT
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