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 Degin»
Strasbourg-Milan-Paris, 2022