Author

P. Meysman

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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Immunology· 4 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 5 Research Focus:cell type annotation· 4 Approach:machine learning (classical)· 3 Assay:proteomics· 3 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

K. Laukens· 5 shared B. Cuypers· 3 shared B. Ogunjimi· 3 shared A. Suls· 2 shared G. Elias· 2 shared H. Jansens· 2 shared N. De Neuter· 2 shared P. Beutels· 2 shared

Activity by Year

2017-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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5 shared papersImmunology

K. Laukens

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Modeling Antigen-Specific T Cell Dynamics Following Hepatitis B Vaccination indicates differences between conventional and regulatory T cell dynamics

H. Besbassi, G. Elias, P. Meysman, H. Jansens, K. Laukens, P. Van Damme, P. Thomas, N. Hens, P. Beutels, B. Ogunjimi

This study models T cell dynamics post-Hepatitis B vaccination, revealing differences between conventional and regulatory T cells and their relationship to antibody responses and seropositivity.

bioRxiv · May 27, 2023Immunology

Predicting MmpR-based bedaquiline resistance using sequence- and structure-based features

E. Riviere, M. Safarpour, P. Meysman, B. Cuypers, C. Meehan, K. Laukens, A. van Rie

This paper develops a machine learning model to predict bedaquiline resistance using sequence and structural features of Rv0678 variants, achieving moderate performance but not sufficient for clinical use.

bioRxiv · Dec 19, 2022 · PreprintMicrobiology

Predicted epitope binding core motifs and common amino acid polymorphisms distinguish protective- from susceptibility-associated HLA alleles in leishmaniasis

N. de Vrij, P. Meysman, S. Gielis, W. Adriaensen, K. Laukens, B. Cuypers

bioRxiv · Feb 19, 2021Immunology

Preexisting memory CD4 T cells in nÏave individuals confer robust immunity upon hepatitis B vaccination

G. Elias, P. Meysman, E. Bartholomeus, N. De Neuter, N. Keersmaekers, A. Suls, H. Jansens, A. Souquette, H. De Reu, E. Smits, E. Lion, P. G. Thomas, G. Mortier, P. Van Damme, P. Beutels, , B. Ogunjimi

The paper shows preexisting memory CD4 T cells in unvaccinated individuals correlate with stronger hepatitis B vaccine responses and predicts immune outcomes using TCR sequencing and machine learning.

bioRxiv · Aug 22, 2020Immunology

On the feasibility of mining CD8+ T-cell receptor patterns underlying immunogenic peptide recognition.

N. De Neuter, W. Bittremieux, C. Beirnaert, B. Cuypers, A. Mrzic, P. Moris, A. Suls, V. Van Tendeloo, B. Ogunjimi, K. Laukens, P. Meysman

The paper develops a random forest classifier to predict T-cell receptor recognition of peptides and identifies structural CDR3 features associated with immunogenicity.

bioRxiv · Mar 20, 2017Immunology