Yoochan Myung

A cargo receptor entrapment complex is a therapeutic node for genetically and clinically distinct proteinopathies

This study identifies a therapeutic target, the entrapment complex, that clears toxic protein accumulation in distinct proteinopathies by disrupting a cargo receptor complex.

CharacTERT: A machine learning tool for classifying hTERT missense variants

CharacTERT classifies hTERT missense variants using machine learning models that integrate sequence and structure-based features, achieving high accuracy and sensitivity in predicting pathogenicity.

Benchmarking 80 binary phenotypes from the openSNP dataset using deep learning algorithms and polygenic risk score tools

This study benchmarks machine learning, deep learning, and polygenic risk score tools on 80 binary phenotypes from openSNP data to evaluate their predictive performance.

Identifying genes associated with phenotypes using machine and deep learning

The paper uses machine and deep learning to identify phenotype-associated genes by classifying cases/controls and calculating feature importance, achieving an 84% gene identification ratio.

Transfer learning across molecular graphs for predicting protein-ligand affinities and their changes upon mutations

This paper introduces DDMuffin, a deep learning framework for predicting protein-ligand binding affinities and mutation-induced changes, showing strong performance on benchmark datasets and offering insights for drug design.

VIVID: a web application for variant interpretation and visualisation in multidimensional analyses

VIVID is a web tool that visualizes and interprets DNA variants in 3D on protein models to study genetic variation and its association with phenotypes.

COVID-3D: An online resource to explore the structural distribution of genetic variation in SARS-CoV-2 and its implication on therapeutic development

The paper presents a web resource, COVID-3D, that visualizes SARS-CoV-2 genetic variation in 3D structures to aid in understanding its impact on infection, immunity, and drug development.