Ateliers Inserm 2023 - INSERM

Ateliers Inserm 2023

Atelier 271 - Utiliser l'apprentissage automatique pour prédire les structures de protéine dans vos recherches

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Mercredi 24 Mai 2023 ◘ Wednesday, May 24, 2023

15:30 - 16:00 Reception of participants
16:00 - 16:15 Welcome and presentation by the organizers
SESSION I  Overview and history of ML in structural biology
16:15 - 17:00  History of structure prediction - outline of challenges and approaches
Jessica ANDREANI (CEA, Paris, France)
17:00 - 17:30 Coffee break
17:30 - 18:15 Development and description of RoseTTAFold/ Protein desi
David JUERGENS (Baker lab, University of Washington, USA)
18:15 - 19:00 AlphaFold two years on: application, impact, and future development
Oleg KOVALEVSKIY (DeepMind, London, United Kingdom)
19:30 Dinner
   

Jeudi 25 Mai 2023 ◘ Thursday, May 25, 2023

06:30 - 08:30 Breakfast
SESSION II  ML applications in structure determination
08:30 - 09:15 Applications to connect ML with X-ray/Cryo-EM structure determination/ bottom up structure biology
Tom TERWILLIGER (New Mexico Consortium, Los Alamos, USA)
09:15 - 10:00 ML with high-throughput workflow
Panagiotis KASTRITIS (Martin Luther University Halle-Wittenberg, Germany)
10:00 - 10:30 Coffee break
10:30 - 11:15 AI to help with NMR, predict intrinsic disorder and folding upon binding
Malene RINGKJØBING JENSEN (IBS Grenoble, France)
11:15 - 12:00 DeepEMhancer: a deep learning solution for cryo-EM volume post-processing
Carlos SORAZANO (Centro Nacional de Biotecnología-CSIC, Madrid, Spain)
12:00 - 14:00 Lunch
SESSION III ML for complexes and drug design
14:00- 14:45 Prediction of complexes
Christian CAMBILLAU (University College Cork, Ireland)
14:45 - 15:30 ML and mass spectroscopy protein-nucleic acid interactions
Richard SCHELTEMA (Utrecht University, Netherlands)
15:30 - 16:00 Coffee Break
16:00 - 16:55 Modeling large complexes
Jan KOSINSKI (EMBL Hamburg, Germany)
16:45 - 17:30 An Industry perspective to using AI in drug design
Matthias HAFFKE (Novartis, Basel, Switzerland)
17:30 - 18:30  Round Table Discussion
19:30 - 20:15 Cocktail
20:15 Dinner
   

Vendredi 26 Mai 2023 ◘ Friday, May 26, 2023

06:30 - 08:30 Breakfast
SESSION IV Future of ML in structural biology
08:30 - 09:15 General overview of applications and limitations
Alex BATERMAN (EMBL-EBI, Cambridge, United Kingdom)
09:15 - 10:00 AI to generate ligands/protein design through prediction of function
Joseph ROGERS (University of Copenhagen, Denmark)
10:00 - 10:30 Coffee Break
SESSION V Industrial hurdles : Bioproduction, quality control, toxicology, regulatory issues 
10:30 - 11:15 Available resources and recommended practices for working with predicted models
Preeti CHOUDHARY / Deborah HARRUS (PDBe-EBI, Cambridge, United Kingdom)
11:15 - 12:00 Publishing work that uses AI predictions
Sarah OSMAN (Nature Publishing, United Kingdom)
1200 - 14:00 Lunch
14:00 Departure

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