Author

E. Sviriaeva

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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Microbiology· 1

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:metagenomics· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

C. Li· 1 shared E. W. L. Ng· 1 shared J. M. C. Kwan· 1 shared S. H. Wong· 1 shared X.-L. Zhang· 1 shared X.-W. Liu· 1 shared Y. Liang· 1 shared Y. Qiao· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperMicrobiology

C. Li

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1 paper

Recent·Most cited

In silico MS/MS prediction for peptidoglycan profiling uncovers novel anti-inflammatory peptidoglycan fragments of the gut microbiota

J. M. C. Kwan, Y. Liang, E. W. L. Ng, E. Sviriaeva, C. Li, Y. Zhao, X.-L. Zhang, X.-W. Liu, S. H. Wong, Y. Qiao

This paper develops a computational tool to predict peptidoglycan MS/MS spectra, enabling automated profiling of gut microbiota-derived PGNs and identifying anti-inflammatory anhydro-PGNs in Bifidobacterium.

Chemical Science · Jan 1, 2024Peer-reviewedMicrobiology