Ho Min Kim

This paper introduces K-Fold, a method that improves prediction of conformational changes in protein complexes by modeling structural transitions from unbound to bound states.

ProteinSketch enables interactive protein design in VR by translating spatial intuition into constraints for AI-driven protein structure generation.

This paper designs high-affinity GDF15 binders using AI-driven methods for cancer cachexia diagnostics and therapeutics, showing potent neutralization and biosensing capabilities.

This paper designs a de novo Tie2 binder that activates the Angiopoietin-Tie2 pathway without integrin engagement, showing improved therapeutic potential in a mouse model of ARDS.

IFUM is a deep learning model that improves folding stability prediction by jointly estimating free energy and unfolded state ensembles, showing better accuracy than previous methods.

This study shows sevoflurane-induced neuroprotection against stroke involves ATF5 and GDF15, but this pathway is inactive in aged mice.

This paper designs antibodies de novo with atomic precision using RFdiffusion and yeast display, validated by cryo-EM and biophysical methods.

This paper designs a potent Wnt surrogate specific for Fzd7 subtype members, showing strong binding affinity and functional activity in organoid formation and hair regeneration.

This paper designs an enhanced interferon-lambda variant with improved stability and antiviral activity for nasal drug delivery against respiratory viruses.

This study designs protein minibinders that act as agonists for TLR3, showing nanomolar binding and biological activity in cell lines.

This study identifies TMEM87A as a novel Golgi-resident cation channel, GolpHCat, which regulates pH homeostasis and is essential for brain function and memory.

This study identifies TMEM43 as a pH-sensing cation channel that modulates gap junction networks in the hippocampus, preventing neuronal hyperexcitability and supporting memory retrieval.

This paper introduces a split-Cre system using split inteins to selectively label neurons based on gene expression and connectivity, enabling precise neural circuit analysis.

This study identifies LARGE as a regulator of AMPA-R trafficking and shows its role in long-term memory formation through homeostatic scaling-down.