VO: The Vaccine Ontology
Jie Zheng, Yu Lin, Anthony Huffman…·Yongqun Oliver He
The paper introduces the Vaccine Ontology (VO), a standardized framework for representing vaccines and related data, enhancing data integration and AI research.
Author
University of MichiganORCID 0000-0002-5159-414XUnclaimed ORCID profile · follow to get notified of new preprints
6 papers
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Jie Zheng, Yu Lin, Anthony Huffman…·Yongqun Oliver He
The paper introduces the Vaccine Ontology (VO), a standardized framework for representing vaccines and related data, enhancing data integration and AI research.
Daniel L. Makrinos, Yanbo Sun, Heather L. Davis…·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.
Hao Zhou, Oscar A. Negrón, Serena Abbondante…·Mihaela G. Gadjeva
This study uses spatial transcriptomics to identify novel Pseudomonas aeruginosa virulence factors and host-pathogen interactions in ocular infection.
Isha Arora, Arkadij Kummer, Hao Zhou…·Edison Ong
mtx-COBRA improves subcellular localization prediction for bacterial proteins, outperforming PSORTb in accuracy for proteins with unknown localization.
Edison Ong, Xiaoqiang Huang, Robin Pearce…·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.
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.