Deep learning revolution in structural biology, illustration and limitations

Françoise Ochsenbein

How far can new algorithms, big data and deep learning transform our sciences? This is the question that Françoise Ochsenbein will address in the next LSCE seminar, in a field where progress is very impressive: molecular biology.


Date début 26/01/2023 11:00
Date fin 26/01/2023
Organisateur Groupe d'organisation des séminaires - Gilles Ramstein
Lieu LSCE - Orme des Merisiers, Gif-sur-Yvette, Bâtiment 714, salle 1129


The predictive tool AlphaFold2 developed by DeepMind (Google) in 2020 using deep learning models, revealed an unequalled accuracy and is revolutionizing the field of structural biology. It consists in predicting the 3D conformation of all atoms of a protein from its linear amino acid sequence. Its performance opens up numerous perspectives in the field of molecular biology and molecular engineering applied to materials or health. The history of the different approaches that were developed to tackle this longstanding question will be revisited and the implications of this new tool, which has been available to the scientific community for the past 18 months, will be discussed as well as its current limits and perspectives. Applications to the study of chromatin assembly mechanisms will be presented.

Informations supplémentaires

Le 26 janvier 2023 de 11h00 à 12h30.