Author

J. D. Romano

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Pharmacology & Toxicology· 4 Microbiology· 3 Cell Biology· 2

Signature Assays, Organisms & Methods

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Approach:experimental assay· 5 Organism:human· 5 Approach:deep learning· 4 Research Focus:drug response / drug discovery· 4 Research Focus:host-pathogen & immune response· 4 Research Focus:cell signaling & trafficking· 2 Assay:proteomics· 2 Research Focus:benchmarking· 1

Frequent Co-Authors

I. Coppens· 5 shared J. H. Moore· 3 shared Y. Hao· 3 shared L. M. Weiss· 2 shared V. B. Carruthers· 2 shared Y. Rivera-Cuevas· 2 shared A. Ferrel· 1 shared C. Karan· 1 shared

Activity by Year

2021-2023 · peak 5/yr

Co-Author Collaboration Network

10 top collaborators · 11 mutual co-author links

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5 shared papersMicrobiology

I. Coppens

Mutual co-authors in cluster

Author profile →

9 papers

Recent·Most cited

Discovering venom-derived drug candidates using differential gene expression

J. D. Romano, H. Li, T. Napolitano, R. Realubit, C. Karan, M. Holford, N. Tatonetti

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

bioRxiv · Jun 1, 2023Pharmacology & Toxicology

Host MOSPD2 enrichment at the parasitophorous vacuole membrane varies between Toxoplasma strains and involves complex interactions

A. Ferrel, J. D. Romano, M. W. Panas, I. Coppens, J. C. Boothroyd

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

bioRxiv · Dec 23, 2022 · PreprintMicrobiology

KNOWLEDGE GRAPH AIDS COMPREHENSIVE EXPLANATION OF DRUG TOXICITY

Y. Hao, J. D. Romano, J. H. Moore

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

bioRxiv · Oct 7, 2022 · PreprintPharmacology & Toxicology

Toxoplasma scavenges mammalian host organelles through usurpation of host ESCRT-III and Vps4

I. Coppens, J. D. Romano, J. A. Mayoral, R. Guevara, Y. Rivera-Cuevas, V. B. Carruthers, L. M. Weiss

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

bioRxiv · Apr 11, 2022Microbiology

Knowledge-guided deep learning models of drug toxicity improve interpretation

Y. Hao, J. D. Romano, J. H. Moore

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

bioRxiv · Feb 28, 2022Pharmacology & Toxicology

Toxoplasma gondii-s basal complex: the other apicomplexan business end is multifunctional

M.-J. Gubbels, D. J. Ferguson, S. Saha, J. D. Romano, S. Chavan, V. A. Primo, C. Michaud, I. Coppens, K. Engelberg

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

bioRxiv · Feb 23, 2022Cell Biology

Dense granule protein, GRA64 interacts with host cell ESCRT proteins during Toxoplasma gondii infection

J. Mayoral, R. B. Guevara, Y. Rivera-Cuevas, V. Tu, T. Tomita, J. D. Romano, L. Gunther-Cummins, S. Sidoli, I. Coppens, V. B. Carruthers, L. M. Weiss

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.

bioRxiv · Nov 2, 2021Microbiology

Improving QSAR Modeling for Predictive Toxicology using Publicly Aggregated Semantic Graph Data and Graph Neural Networks

J. D. Romano, Y. Hao, J. H. Moore

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

bioRxiv · Aug 8, 2021 · PreprintPharmacology & Toxicology

The Rab11-Family Interacting Proteins reveal selective interaction of mammalian recycling endosomes with the Toxoplasma parasitophorous vacuole in a Rab11- and Arf6-dependent manner

E. J. Hartman, J. D. Romano, I. Coppens

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.

bioRxiv · Jun 1, 2021Cell Biology