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Week Mon. 25 Tue. 26 Wed. 27 Thu. 28 Fri. 29 List

	Mon. 25	Tue. 26	Wed. 27	Thu. 28	Fri. 29
09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00	Panorama of deep learning methods 9:30 - 12:15 (2h45) Panorama of deep learning methods Auditorium Claire Boyer Introduction to protein sequences/structures and AF2 14:00 - 17:00 (3h) Introduction to protein sequences/structures and AF2 e-Learning room Elodie Laine Overview of protein structure prediction 17:00 - 17:30 (30min) Overview of protein structure prediction Krzysztof Fidelis	Prediction of protein local structural properties from sequence 9:30 - 12:15 (2h45) Prediction of protein local structural properties from sequence Auditorium Tatiana Galochkina and Jean-Christophe Gelly Prediction of protein local structural properties from sequence 14:00 - 17:30 (3h30) Prediction of protein local structural properties from sequence e-Learning room Tatiana Galochkina and Jean-Christophe Gelly	Prediction of partners from sequences 9:30 - 12:15 (2h45) Prediction of partners from sequences Auditorium Alessandra Carbone Prediction of partners from sequences 14:00 - 17:30 (3h30) Prediction of partners from sequences e-Learning room Konstantin Volzhenin	Geometric learning on protein structures 9:30 - 12:15 (2h45) Geometric learning on protein structures Auditorium Sergei Grudinin Geometric learning on protein structures 14:00 - 17:30 (3h30) Geometric learning on protein structures e-Learning room Dmitrii Zhemchuzhnikov	Protein structure design and energy functions 9:30 - 12:15 (2h45) Protein structure design and energy functions Auditorium Sophie Barbe Protein structure design and energy functions 14:00 - 17:30 (3h30) Protein structure design and energy functions e-Learning room Younes Bouchiba and Marianne Defresne

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