# Welcome!

This website contains all the necessary information related [Ersilia](https://ersilia.io/)'s content for the **1st Latin American hands-on workshop on open-source AI/ML-guided drug discovery**, delivered on November 10th to 13th, 2025, at the "Facultad de Ciencias Exactas y Naturale&#x73;*,* Universidad de Buenos Aires, Argentina". The full programme for the workshop can be found [here](http://bioinfo.qb.fcen.uba.ar/capacity_building/).

## Jump right in

<table data-view="cards"><thead><tr><th></th></tr></thead><tbody><tr><td><p>The basics of drug discovery and how AI can help with the Ersilia Model Hub<br></p><p><a href="sessions/monday-morning-keynote">Monday morning (keynote)</a></p></td></tr><tr><td>Using the Ersilia Model Hub for antibiotic bioactivity prediction<br><br><a href="sessions/monday-afternoon-demo">Monday afternoon (demo)</a></td></tr><tr><td>Group exercise to prioritize antibiotic compounds with the Ersilia Model Hub<br><br><a href="sessions/monday-afternoon-breakout">Monday afternoon (breakout)</a></td></tr><tr><td>What is next in AI for drug discovery. Generative chemistry and beyond<br><br><a href="sessions/tuesday-morning-keynote">Tuesday morning (keynote)</a></td></tr><tr><td>Sampling the chemical space with similarity searches and generative tools<br><br><a href="sessions/tuesday-morning-demo">Tuesday morning (demo)</a></td></tr></tbody></table>

## Facilitators

This short course is facilitated by the [Ersilia Open Source Initiative](https://ersilia.io/). Feel free to reach out to the facilitators if you have any questions or concerns!

* Gemma Turon, PhD (<gemma@ersilia.io>). Co-Founder and Executive Director
* Miquel Duran-Frigola, PhD (<miquel@ersilia.io>). Co-Founder and Science & Technology Director

## Useful links

All course materials are open, including slide decks and datasets. All the necessary information is available in the following links:

* [Google Drive folder](https://drive.google.com/drive/folders/1w1bR3QU2fY_sAsRmJFH7Chol9XIyHfH1?usp=sharing) with all course materials
* [Ersilia Model Hub App](https://hub.ersilia.io/) to quickly run predictions online
* [Ersilia Model Hub Browser](https://ersilia.io/model-hub) to discover models of interest

Ersilia is a non-profit organization aimed at fueling research for drug discovery with open-source AI/ML tools. To learn more about Ersilia, please visit:

* The [organization website](https://ersilia.io/) for a quick overview of our projects and activities
* The [GitBook documentation](https://ersilia.gitbook.io/) for in-depth details, including code and how to collaborate with us
* The [Ersilia CLI](https://github.com/ersilia-os/ersilia) tool codebase, which centralizes most of our open source activities&#x20;
