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9th Autumn School on Chemoinformatics 2025 – List of Short Abstract

List of Short Abstract

Click on the lecture title to view the short abstract.

Invited Speakers (In Program Order)

Prof. Jürgen Bajorath(University of Bonn)
Chemical Language Models and Prediction Anatomy

Prof. Alexander Tropsha(The University of North Carolina at Chapel Hill)
AI/ML approaches for generative chemical design and virtual screening acceleration

Prof. Yoshihiro Yamanishi (Nagoya University)
Data-driven drug search and design by machine learning

Prof. Yasushi Okuno(Kyoto University)
DX platform for target discovery and drug design

Dr. Sharon Bryant(Inte:Ligand)
Advanced 3D-Pharmacophores for Drug Discovery and De-Risking Neurotoxicity

Prof. Gisbert Schneider(ETH Zurich)
Deep drug design: Advancing from hits to leads

Assoc. Prof. Tomoyuki Miyao(NAIST)
QSPR modeling approaches representing conformations

Prof. Thierry Langer(University of Vienna)
Next Generation Pharmacophore Modeling: Novel Concepts & Tools for Molecular Design

Prof. Alexandre Varnek(University of Strasbourg)
Artificial Intelligence: The Future for Synthetic Chemistry?

Prof. Kenji Hori(TS Technology)
Current in the data-driven synthesis route development methods in TS technology (DSRDM in TST) and its applications for fine chemicals

Prof. Jose L Medina-Franco(National Autonomous University of Mexico)
D-Tools: An Open Platform for Research and education in Chemoinformatics.

Prof. Dragos Horvath(University of Strasbourg)
Chemography – from Abstract Mathematics to Library Design

Prof. Shigetaka Tomiya(NAIST)
Metrology informatics for electron microscopy

Prof. Hanoch Senderowitz(Bar-Ilan University)
Materials Informatics for green energy harvesting and storage

Prof. Mikiya Fujii(NAIST)
Inorganic Materials Design Utilizing Machine Learning and Generative Adversarial Networks

Prof. Manabu Sugimoto(Kumamoto University)
Extended Molecular Representations for Electronic-Structure Informatics and Their Applications

General Oral Presenters (In Program Order)

Hideya Tanaka (NAIST)
Quantitative structure–reactivity relationship-guided mechanistic study of nitroxyl radical-catalyzed alcohol oxidation

Yuto Iwasaki (NAIST)
Rapid evaluation of virtually synthesized compounds using a support vector machine model with reactant-wise kernels

Yuki Matsukiyo (Nagoya University)
Omics-based chemical structure generation considering molecular properties via deep reinforcement learning

Kowit Hengphasatporn (University of Tsukuba)
The Full Mechanistic Tale of Pralidoxime in Acetylcholinesterase: Binding, Reaction, and Release

Pavel SIdorov (ICReDD, Hokkaido university )
Bridging the Gap: Collaborative Tools for Chemoinformatics and Experimental Chemistry

Galymzhan Moldagulov (Institute for Basic Science, CARS, UNIST)
Predicting Ligand-to-Metal Coordination Modes by a Combination of Coordination Templates and Machine Learning