The paper introduces the Vaccine Ontology (VO), a standardized framework for representing vaccines and related data, enhancing data integration and AI research.

Scientific Data · Apr 30, 2026Peer-reviewedBioinformatics

A multivalent mRNA-LNP therapeutic vaccine with broad cross-genotype immunogenicity elicits clearance of HBV infected hepatocytes

Daniel L. Makrinos, Yanbo Sun, Heather L. Davis, LingZhi Ma, Thu Kim, Emma Dellea, Mia Malone, Edison Ong, Maria Cavallaro, Caroline G. Atyeo, Phillipa Martin, Cathal Harmon, Ziqiu Wang, Guha Asthagiri Arunkumar, Alec W. Freyn, , Simone Pecetta

This paper develops an mRNA-LNP vaccine, mRNA-1965, that clears HBV-infected hepatocytes in mice by inducing broad immune responses across HBV genotypes.

bioRxiv · Dec 5, 2025 · PreprintImmunology

Spatial transcriptomics identifies novel Pseudomonas aeruginosa virulence factors

Hao Zhou, Oscar A. Negrón, Serena Abbondante, Michaela Ellen Marshall, Brandon Jones, Edison Ong, Nicole M. Chumbler, Christopher D. Tunkey, Groves Dixon, Haining Lin, Obadiah J. Plante, Eric M. Pearlman, Mihaela G. Gadjeva

This study uses spatial transcriptomics to identify novel Pseudomonas aeruginosa virulence factors and host-pathogen interactions in ocular infection.

Cell Genomics · Mar 1, 2025Peer-reviewedMicrobiology

mtx-COBRA: Subcellular localization prediction for bacterial proteins

Isha Arora, Arkadij Kummer, Hao Zhou, Mihaela G. Gadjeva, Eric J. Ma, Gwo‐Yu Chuang, Edison Ong

mtx-COBRA improves subcellular localization prediction for bacterial proteins, outperforming PSORTb in accuracy for proteins with unknown localization.

Computers in Biology and Medicine · Feb 10, 2024Peer-reviewedBioinformatics

Rational Design of SARS-CoV-2 Spike Glycoproteins To Increase Immunogenicity By T Cell Epitope Engineering

Edison Ong, Xiaoqiang Huang, Robin Pearce, Yang Zhang, Yongqun Oliver He

This study designs SARS-CoV-2 spike protein variants with enhanced immunogenicity by engineering T cell epitopes while preserving structure and function.

Computational and Structural Biotechnology Journal · Dec 30, 2020Peer-reviewedBioinformatics

COVID-19 coronavirus vaccine design using reverse vaccinology and machine learning

Edison Ong, Mei U Wong, Anthony Huffman, Yongqun Oliver He

The paper predicts COVID-19 vaccine candidates using reverse vaccinology and machine learning, identifying the N and nsp3 proteins as potential targets.

Frontiers in Immunology · Jul 3, 2020Peer-reviewedBioinformatics