Jae‐Ho Cheong

The paper examines how the geometry of the FMN pocket in mitochondrial complex I influences spin responses and singlet yields under varying conditions.

The paper models spin chemistry in mitochondrial Complex I's flavin radical pair, showing kinetic gating by iron sulfur clusters affects singlet yield and spin coherence.

The paper analyzes charge and connectivity constraints in mitochondrial complex I proton wires, finding that tumors selectively enrich charge-related mutations at specific sites.

The paper predicts how MT-CYB mutations affect electron transfer in cancer and finds they are depleted in germline but enriched in tumors.

The paper identifies a specific mutation pattern in mismatch-repair-deficient cancers linked to DNA hole delocalization and oxidation, showing enrichment at 5' guanines and depletion at 3' guanines.

This paper introduces a spin-glass metabolic model to analyze cancer metabolism, finding that gene expression reshapes metabolic landscapes and identifies a prognostic order parameter.

The paper analyzes Fe-S clusters to show geometry-derived Hamiltonian organization links structural features with transport behavior and taxonomic recurrence.

This paper introduces Gene Program Negotiation (GPN), a framework to analyze regulatory interactions in single-cell transcriptomes, revealing new regulatory states and their association with cellular plasticity.

FateLimit quantifies when future cell identities become predictable from current molecular states across multiple developmental systems.

This paper identifies protein-glass microenvironments in Complex I that correlate with electron transfer vulnerability in Leigh syndrome mutations.

The paper introduces CCE, a framework to analyze transcriptomic coupling between intracellular compartments, revealing state transitions in single cells through information-geometric metrics.

The paper uses quantum walk analysis to show that a conserved structural bottleneck in mitochondrial complex I redistributes electron flux through alternative pathways across species.

The paper introduces Korea10K, a large genomic dataset of 10,239 Korean genomes with multiomic and clinical data, enabling population-specific variant imputation and insights into genomic-epigenomic regulation.

MSI-SEER uses deep Gaussian processes to predict microsatellite instability from histology images, achieving high accuracy in MSI prediction and ICI response prediction.

This study develops KH12, a METTL3 degrader, showing potent anti-leukemia and anti-gastric cancer effects through m6A-dependent and -independent mechanisms.

The paper identifies metastasis-specific EMT genes in gastric cancer and shows their route-specific expression and association with fibroblast populations and poor prognosis.

This study shows that inhibiting ATP2B1 with compound PI-7 reduces SARS-CoV-2 replication by lowering intracellular calcium levels and disrupting the PI3K/Akt/FoxO3 signaling pathway.

The paper identifies pathogenic variants in Lynch Syndrome genes in patients with multiple cancers and finds higher prevalence of non-LS gene variants in early-onset cases.

The paper investigates the anti-viral effects of long-chain polyphosphates (PolyPs) against SARS-CoV-2, showing they impair infection and replication by interacting with ACE2 and RdRp.

This paper introduces a Bayesian semi-nonnegative matrix tri-factorization method to identify cancer-associated pathways from real-valued gene expression data, showing improved performance over existing methods.

This study identifies cancer-type-specific altered pathways linked to survival outcomes across 19 cancer types using integrated somatic mutation and gene expression data.