IT seminar: Geometric deep learning for structural bioinformatics research
Speaker: Vincent Mallet
Abstract:
Protein structure is key to understand biological processes such as binding to other compounds, the foundation of drug discovery. Determination of the structure of a protein from images and prediction of the binding is therefore a problem of paramount importance. Deep learning methods can leverage vast amounts of data and have proven efficient on many problems already. I want to extend these methods to geometric data, such as surfaces and cloud of points. I want then to use the result to solve the structure determination and binding prediction problems.
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LES TECHNOLOGIES 3D POUR LA MODE & LE TEXTILE
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Learning to Learn Better ! – une histoire du Singapour
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Qu’est-ce que la qualité de vie en fin de vie - 2/6
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Sciences in Context: Metacognition and the value of information in decision making
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Life Hacking Series: Making important decisions with the help of ‘Fearsetting’!
Salon Postbac 2020
Salon Postbac 2020
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Visit the preprocessing center of the organic waste company Moulinot
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Mindfulness, interdisciplinary, and education research group in health : meeting 3
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place de la méditation de pleine conscience en cancérologie: pour les patients et les soignants
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