This tutorial explains how to incorporate models in the Ersilia Model Hub
- 1.Models developed by third parties.
- 2.Models developed by Ersilia based on publicly available data.
- 3.Models developed by Ersilia based on data from collaborators.
In this page, we focus on the first type of models, i.e. models developed by third parties. These third party models come with source code and parameters (or data to train them). We show how to to use the Ersilia Model Template to adapt the assets provided by third parties and incorporate them into the Ersilia Model Hub.
First, check our Model Hub Backend, which contains:
- Model Suggestions: Contains a backlog of models that could be of interest to Ersilia. This sheet contains minimal information about the models. There is an Approved and a Selected tickbox. Approved means that Ersilia is willing to incorporate this model. Selected means that someone is already working on the model or the model has been successfully incorporated in the Ersilia Model Hub.
To start contributing:
- 2.Join the #contributors channel in Slack and ask for edit permits for the Spreadsheet.
- 3.Fill in models of interest in the Model Suggestions list (if you need some sources of inspiration, check below)
- 4.Wait for model to be approved (or select an already approved one) and notify everyone of your selection on the #contributors channel to avoid duplication.
- 5.Fill in the information on the Model Hub sheet. Use the next available EOS ID and do not modify it.
Unfortunately, there is no centralized resource to find AI/ML models for drug discovery online (reason why Ersilia exists). The following resources can help you, though:
- Use the
#literaturechannel in the Ersilia Slack workspace to get inspiration.