Posters
List of posters
Author | Title | |
1 | Farah Asgarkhanova (Strasbourg University, France) | Computer-aided design of selective chemical probes of angiotensin-converting enzyme 2 |
2 | Hitoshi Nabata (ICReDD, Hokkaido University, Japan) | Systematic reaction path search on a oxide surface: a case study on thermal decomposition of formic acid on the anatase TiO2 (101) surface |
3 | Hiroaki Okada (ICReDD, Hokkaido University, Japan) | On accelerating reaction optimization using computational Gibbs energy barriers: numerical experiments using a reaction barrier dataset of the Claisen rearrangement |
4 | Maxim Shevelev (Strasbourg University, France) | Structure-guided design of novel tubulin binders: towards site-specific cysteine targeting |
5 | Shamkhal Baybekov (Strasbourg University, France) | Prediction of DMSO solubility for fragment-based screening |
6 | Pierre Llompart (Strasbourg University, France) | Will we ever be able to accurately predict solubility? |
7 | Regina Pikalyova (Strasbourg University, France) | Exploration of the chemical space of DNA-Encoded Libraries |
8 | Karina Pikalyova (Strasbourg University, France) | HIV-1 drug resistance profiling using amino acid sequence space cartography |
9 | Tagir Akhmetshin (Strasbourg University, France) | HyFactor: Hydrogen-count labelled graph-based defactorization autoencoder |
10 | Julia Revillo Imbernon (Strasbourg University, France) | Mining the Protein Data Bank to inspire fragment library design |
11 | Luca Chiesa (Strasbourg University, France) | A new machine learning based method for ADRB2 agonist detection using single-ligand dynamic interaction data |
12 | Louis Plyer (Strasbourg University, France) | Implementation of a Soft Grading System for Chemistry in a Moodle Plugin |
13 | Mariia Avstrikova (Strasbourg University, France) | Allosteric Modulation of nicotinic Acetylcholine Receptor α7 Studied by Molecular Dynamics |
14 | Yusuke Tateishi and Manabu Sugimoto (Kumamoto University, Japan) | Application of Electronic-Structure Informatics for Drug Discovery using a Natural-Product Database |