Track « In Silico Drug Design »
Strasbourg-Milan-Paris, 2022
Blog
Deep Learning with SMILES
Track « Chemoinformatics and Physical Chemistry »
Milan-Strasbourg, 2022
Interview with Pr Peter Kolb
Track « In Silico Drug Design »
Strasbourg-Milan-Paris, 2022
Chemical reaction optimization using an artificial neural network
Track "Chemoinformatics for Organic Chemistry"
NOVA School of Science and Technology (Lisbon) – University of Strasbourg (France), 2022
Interview with Prof. José L. Medina-Franco
Track « Chemoinformatics for Biophysical and Computational Chemistry »
Ljubljana-Strasbourg, 2022
Deep Docking : a brief introduction
Track « Chemoinformatics and Materials Informatics »
Bar Ilan-Strasbourg, 2022
Halogen bond : definition, modelling and applications
Track « Chemoinformatics and Physical Chemistry »
Milan-Strasbourg, 2022
Chematica (Synthia) – a new software tool for synthesis planning, that combines artificial and expert intelligence to outperform both
Track « In Silico Drug Design »
Strasbourg-Milan-Paris, 2023
ProtGPT2 : Designing Novel Proteins with Deep Learning
Track « Chemoinformatics and Physical Chemistry »
Milan-Strasbourg, 2022
ZINC20 - Enabling Drug Discovery Through Comprehensive Chemical Search
Track « In Silico Drug Design »
Strasbourg-Milan-Paris, 2022
Chemoinformatics : Past, Present, Future
Track « Chemoinformatics and Materials Informatics »
Bar Ilan-Strasbourg, 2023
Role of chemoinformatics in the research field of flavor compounds
Track « In Silico Drug Design »
Strasbourg-Milan-Paris, 2023
Revolutionizing oncology with gene therapy : the role of computational methods
Track « Chemoinformatics for Organic Chemistry »
Lisbon-Strasbourg, 2025
Advances in Autonomous Chemical Research
Track « Chemoinformatics and Materials Informatics »
Bar Ilan - Strasbourg, 2025
PyMOL : A Powerful Tool for Molecular Visualization and Structural Analysis
Track « Chemoinformatics and Physical Chemistry »
Milan-Strasbourg, 2025