Virtual course, EMBL-EBI training site, 2025
Proteins are fundamental to biological processes, and understanding their sequence, structure, and function is crucial for various applications in research. This one-day, hands-on virtual workshop guided participants through a structured, programmatic workflow using EMBL-EBI resources.
Event, Wellcome Genome Campus, 2025
In January 2025, I had the rewarding experience of coordinating the AlphaFold Education Summit (AFES), a key collaboration with Google DeepMind. Our global mission was to empower researchers and educators worldwide. At its core, AFES implemented a ‘train-the-trainer’ model, featuring dedicated workshops on both AlphaFold 2 and the capabilities of AlphaFold 3. This approach was designed to scale expertise globally, enabling participants to integrate these tools into research and teaching, with a crucial focus on enhancing accessibility for those in under-resourced regions and tackling significant scientific challenges.
Workshop, Institut d'Études Scientifiques de Cargèse, 2024
The Algorithms in Structural Bioinformatics (AlgoSB) school provided an intensive learning environment, and I was honoured to contribute as an instructor for the 2024 edition in Cargèse. On Tuesday, November 19th, my co-lecturer Maxim Tsenkov and I delivered a session titled “AlphaFold: A Case Study in Deep Learning for Protein Structure Prediction.” We explored its foundational aspects, its impact, limitations, and future potential. The afternoon was dedicated to practical application, where I led the hands-on session, focusing on tangible skills: sampling predictions, identifying remote homologous proteins, and effectively evaluating and enriching structures sourced from the AlphaFold Database.
Workshop, EMBL-EBI (virtual), 2024
This EMBL-EBI course delves into the methods and tools vital for structural bioinformatics. Participants explore how to leverage 3D structural data – whether experimentally determined or predicted by AI – to gain insights into how macromolecules function. It covers key bioinformatics resources, techniques for analysis and interpretation, methods for predicting function, and approaches to exploring molecular interactions.
Workshop, 23rd European Conference on Computational Biology, 2024
Emerging structural predictions, including over 200 million protein sequences via the AlphaFold Database, are transforming our biological insights. The 3D-Beacons network enhances this revolution by providing straightforward access to a wide array of protein structures, both experimentally determined and computationally predicted.
Online course, EMBL-EBI training site, 2024
This tutorial is aimed at researchers who are interested in using AlphaFold2 to predict protein structures and integrate these predictions into their projects. An undergraduate-level knowledge of protein structure and structural biology would be an advantage.