Dongwan Hong

The paper identifies structural features of ADAM10 cleavage substrates using protein structure prediction and develops a classification algorithm to predict cleavage sites.

This study identifies amino acid substitutions linked to SARS-CoV-2 infectivity and develops AIVE, a web tool for predicting infectivity based on mutations.

This study develops a primer spike-in strategy to profile Pol III-transcribed ncRNAs like nc886 using scRNA-seq, enabling combined analysis with gene expression.

This study uses a multi-omic approach to analyze complex genomic rearrangements in head and neck cancers, identifying HPV-mediated instability and enhancer hijacking as drivers of oncogene overexpression.

This study uses somatic mutations to reconstruct cellular phylogenetic trees and analyze clonal dynamics in early human embryogenesis.