[2S05a] AI-driven and data-driven approaches for drug discovery and pharmacology | APPW2025

Session Details

Symposium

[2S05a]AI-driven and data-driven approaches for drug discovery and pharmacology

Tue. Mar 18, 2025 1:40 PM - 3:30 PM JST
Tue. Mar 18, 2025 4:40 AM - 6:30 AM UTC

Room 5

Oranizers :Katsuyuki Yugi (RIKEN Center for Integrative Medical Sciences) and Yoshihiro Yamanishi (Graduate School of Informatics, Nagoya University)

Recent advances in comprehensive measurement and AI/machine learning technologies have evoked data-driven and AI-driven drug discovery and pharmacological studies. For example, there are examples where the advances in comprehensive measurement technology, especially omics-related technology, have shown that there may be many target molecules for existing drugs other than the classical targets previously known. The AI/machine learning technologies are being applied to molecular design, such as optimizing lead compounds. This symposium invites researchers from industry and academia to discuss the latest achievements and innovations in the field and its future prospects.

1:40 PM - 2:08 PM JST(4:40 AM - 5:08 AM UTC)

[2S05a-1]A trans-omic analysis of metformin action in the liver

^○Katsuyuki Yugi¹, Hatano Atsushi^1,2 (1.RIKEN Center for Integrative Medical Sciences, 2.Department of Omics and Systems Biology, Niigata University)

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2:08 PM - 2:36 PM JST(5:08 AM - 5:36 AM UTC)

[2S05a-2]AI-driven drug design using omics data

^○Yoshihiro Yamanishi (Nagoya University)

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2:36 PM - 3:04 PM JST(5:36 AM - 6:04 AM UTC)

[[OD]2S05a-3]AI-Powered Therapeutic Target Discovery for Drug Development

^○Frank Pun (Insilico Medicine Hong Kong Limited)

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3:04 PM - 3:28 PM JST(6:04 AM - 6:28 AM UTC)

[[OD]2S05a-4]Recent Trends in AI Drug Discovery and Emerging Companies

^○Hiroki Ashida (Eight Roads Ventures)

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