Bing Zhai

The paper develops and validates a genome-scale metabolic model for Cryptococcus neoformans strain H99, showing high precision in essential gene prediction and capturing metabolic adaptations relevant to drug tolerance and host survival.

The paper defines the pangenome of 372 Candida parapsilosis isolates, revealing low genetic diversity and identifying gene content variations associated with nitrogen metabolism.

This study identifies that resistance to miltefosine in Candida parapsilosis arises from RTA3 gene amplification or flippase inactivation, altering plasma membrane lipid asymmetry.

The paper customizes a DADA2-based pipeline for fungal ITS1 amplicon datasets to improve species-level taxonomic annotation accuracy in clinical samples.

The paper identifies a new C. metapsilosis isolate resulting from a separate hybridization event, showing distinct genomic features compared to previously known isolates.