Ho‐Joon Lee

The paper identifies STARD9 as a causal gene for dyslipidemias and atherosclerosis, showing how its variants alter lysosomal positioning and cholesterol trafficking with opposing effects on HDL and triglycerides.

This paper introduces FastBindRank, a distillation-based framework for high-fidelity virtual screening of large chemical libraries, achieving higher hit rates and discovery yields than traditional methods.

The paper identifies two micropeptides encoded by lincRNAs that regulate chromatin accessibility in vertebrate-specific neural cells and show their role in brain development.

The paper uses machine learning to classify metabolic regulation by phosphorylation and acetylation across multiple organisms and conditions.

The paper predicts SARS-CoV-2-human protein-protein interactions using multi-label classifiers, identifying key interactions and pathways involved in infection.

The paper uses dynamic metabolic modeling to analyze time-course multi-omics data from murine pro-B cells, revealing key metabolic changes during the cell cycle.

The paper analyzes SARS-CoV-2 infection's targeting of indispensable nodes in a directed human protein-protein interaction network using proteomics and CRISPR data, showing differential controllability among coronaviruses.

The paper analyzes targeted metabolomics data from diverse biological samples to assess measurement quality and identify metabolite dynamics across conditions.