A hub of AI/ML models for open source drug discovery and global health


Keywords
drug-discovery, machine-learning, ersilia, open-science, global-health, model-hub, infectious-diseases, neglected-tropical-disease, open-source, python
License
GPL-3.0
Install
pip install ersilia==0.1.33

Documentation

๐ŸŽ‰ Welcome to the Ersilia Model Hub ๐ŸŒŸ

Donate Contributor Covenant License: GPL v3 PyPI version fury.io Python 3.7 Code style: black DOI documentation

Table of Contents

  1. Project Description
  2. Quick start guide
  3. Contribute
  4. License and citation
  5. About us

Project Description

The Ersilia Model Hub is a unified platform of pre-trained AI/ML models dedicated to ๐Ÿฆ  infectious and neglected disease research. Our mission is to offer an open-source, ๐Ÿ›  low-code solution that provides seamless access to AI/ML models for ๐Ÿ’Š drug discovery. Models housed in our hub come from two sources:

  1. ๐Ÿ“š Published models from literature (with due third-party acknowledgement)
  2. ๐Ÿ›  Custom models developed by the Ersilia team or our valued contributors.

Quick Start Guide

Please check the package requirements in the Installation Guide. The next steps are a quickstart guide to installing Ersilia.

  1. Create a conda environment and activate it

    conda create -n ersilia python=3.10
    conda activate ersilia
  2. Clone this repository and install with pip

    git clone https://github.com/ersilia-os/ersilia.git
    cd ersilia
    pip install -e .
  3. Once the Ersilia Model Hub is installed, you can use the CLI to run predictions. First, select a model from the Ersilia Model Hub and fetch it:

    ersilia fetch retrosynthetic-accessibility
  4. Generate a few (5) example molecules, to be used as input. The example command will generate the adequate input for the model in use

    ersilia example retrosynthetic-accessibility -n 5 -f my_molecules.csv
  5. Then, serve your model:

    ersilia serve retrosynthetic-accessibility
  6. And run the model:

    ersilia run -i my_molecules.csv -o my_predictions.csv
  7. Finally, close the service when you are done.

    ersilia close
  8. If you no longer want to use the model, you can delete it.

    ersilia delete retrosynthetic-accessibility

Please see the Ersilia Book for more examples and detailed explanations.

Contribute

The Ersilia Model Hub is a Free, Open Source Software and we highly value new contributors. There are several ways in which you can contribute to the project:

  • A good place to start is checking open issues.
  • If you have identified a bug in the code, please open a new issue using the bug template.
  • Share any feedback with the community using GitHub Discussions for the project
  • Check our Contributing Guide for more details

The Ersilia Open Source Initiative adheres to the Contributor Covenant code of conduct.

Submit a New Model

If you want to incorporate a new model in the platform, open a new issue using the model request template or contact us using the following form.

After submitting your model request via an issue (suggested), a maintainer will review your request. If they /approve your request, a new model respository will be created for you to fork and use! There is a demo repository explaining the steps one-by-one.

License and Citation

This repository is open-sourced under the GPL-3 License. Please cite us if you use it!

About Us

The Ersilia Open Source Initiative is a Non Profit Organization (1192266) with the mission is to equip labs, universities and clinics in LMIC with AI/ML tools for infectious disease research.

Help us achieve our mission or volunteer with us!