Author

Sunggi An

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Open access Sep 2026

LLM-guided prediction of riboswitch-ligand binding affinity under data-limited conditions.

A neuro-symbolic framework in which LLM-derived embeddings encode riboswitch sequences, secondary structures, and ligand representations into a unified representation that captures riboswitch-ligand interaction context, while domain-informed rules encode explicit biochemical priors is presented.

Sunggi An, Sofia Mun, Yousung Jung et al. · New Biotechnology · 0 citations

Review Open access Aug 2026

AI for Accelerated Materials Discovery: From Generative Design to Autonomous Realization

This review examines emerging AI methodologies for accelerated materials discovery, with particular emphasis on how computational design, data infrastructure, synthesis planning, and autonomous experimentation can be connected into experimentally grounded workflows.

Jaehwan Choi, Seongmin Kim, Junkil Park et al. · Chemical Reviews · 4 citations