Search Results for author: Seonghwan Seo

Found 3 papers, 3 papers with code

TacoGFN: Target-conditioned GFlowNet for Structure-based Drug Design

1 code implementation5 Oct 2023 Tony Shen, Seonghwan Seo, Grayson Lee, Mohit Pandey, Jason R Smith, Artem Cherkasov, Woo Youn Kim, Martin Ester

Searching the vast chemical space for drug-like and synthesizable molecules with high binding affinity to a protein pocket is a challenging task in drug discovery.

Active Learning Drug Discovery

PharmacoNet: Accelerating Large-Scale Virtual Screening by Deep Pharmacophore Modeling

2 code implementations1 Oct 2023 Seonghwan Seo, Woo Youn Kim

Different pre-screening methods have been developed for rapid screening, but there is still a lack of structure-based methods applicable to various proteins that perform protein-ligand binding conformation prediction and scoring in an extremely short time.

Drug Discovery Graph Matching +3

Fragment-based molecular generative model with high generalization ability and synthetic accessibility

2 code implementations25 Nov 2021 Seonghwan Seo, Jaechang Lim, Woo Youn Kim

The high synthetic accessibility of the generated molecules is implicitly considered while preparing the fragment library with the BRICS decomposition method.

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