Heekuk Park

This study identifies divergent resistance mechanisms in Plasmodium HSP90 inhibitors despite shared binding sites, showing that enhanced binding can paradoxically correlate with resistance.

This study identifies a novel K13 double mutation conferring resistance to ozonide antimalarials in Plasmodium falciparum parasites with existing artemisinin resistance.

This paper introduces copangraph, a framework for comparative metagenomic analysis using sequence graphs, showing improved accuracy and computational efficiency in capturing genomic variation across microbial communities.

The paper identifies sample processing errors in microbiome studies using host genetic profiles from metagenomic sequencing and experimental metadata.

DEBIAS-M corrects processing bias in microbiome data, improving cross-study generalization of prediction models by learning interpretable bias-correction factors.

This study predicts preeclampsia using first trimester vaginal microbiome data with machine learning, achieving an auROC of 0.78 in the training set and 0.80 in an independent cohort.

This study identifies DMT1 and a chromosome 12 locus, including FtsH1, as novel contributors to Plasmodium falciparum resistance to quinine, alongside the known pfcrt gene.

The paper identifies genetic determinants of multidrug resistance in Plasmodium falciparum and their impact on parasite fitness and drug susceptibility.