🦠 Model Request: Metabolites prediction

[miquelduranfrigola]

Model Name

Drug metabolites prediction

Model Description

Prediction of drug metabolites using neural machine translation. An ensemble model is built to account for multiple and diverse metabolites.

Slug

drug-metabolites

Tag

Metabolism

Publication

https://pubs.rsc.org/en/content/articlelanding/2020/sc/d0sc02639e

Source Code

https://github.com/KavrakiLab/MetaTrans

License

BSD-3-Clause

[miquelduranfrigola]

/approve

[github-actions]

New Model Repository Created! 🎉

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

🔗 ersilia-os/eos35g4

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

If you have any questions, please feel free to open an issue and get support from the community!

[GemmaTuron]

@miquelduranfrigola are you going to work on this model?

[miquelduranfrigola]

Yeap, as soon as I can. It is relevant to the AI2050 project