J. D. Romano

This study introduces VenomSeq, a platform that uses transcriptomics and differential gene expression to link venoms to drugs and diseases, generating new therapeutic hypotheses.

The paper investigates strain-specific variations in host MOSPD2 association with the Toxoplasma parasitophorous vacuole membrane and identifies factors influencing this interaction.

AIDTox is an interpretable deep learning model that predicts cytotoxicity and explains drug toxicity mechanisms using curated biological knowledge.

This study shows Toxoplasma uses host ESCRT-III and Vps4 to scavenge host organelles into its parasitophorous vacuole through proteins TgGRA14 and TgGRA64.

DTox improves drug toxicity prediction and interpretation by combining deep learning with biological knowledge, outperforming conventional models in explainability.

This paper reviews and expands understanding of the basal complex in Toxoplasma gondii, highlighting its multifunctional roles in cell division, import, and motility.

This study identifies GRA64, a Toxoplasma gondii dense granule protein that interacts with host ESCRT proteins, and shows its role in intracystic vesicle formation during chronic infection.

This paper improves QSAR modeling for predictive toxicology by integrating semantic graph data with graph neural networks and analyzing their contributions.

The paper identifies Rab11-Family Interacting Proteins (FIPs) that mediate selective interaction of recycling endosomes with the Toxoplasma parasitophorous vacuole, dependent on Rab11 and Arf6.