Author

P. Guillaume

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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Organism:human· 6 Assay:proteomics· 6 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Research Focus:differential expression· 2 Approach:experimental assay· 2 Research Focus:protein folding & dynamics· 2 Approach:statistical model· 2

Frequent Co-Authors

D. Gfeller· 6 shared G. Coukos· 6 shared M. Bassani-Sternberg· 6 shared J. Racle· 5 shared J. Michaux· 4 shared A. Harari· 2 shared H.-S. Pak· 2 shared J. Schmidt· 2 shared

Activity by Year

2017-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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6 shared papersImmunology

D. Gfeller

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6 papers

Recent·Most cited

Machine learning predictions of MHC-II specificities reveal alternative binding mode of class II epitopes

J. Racle, P. Guillaume, J. Schmidt, J. Michaux, A. Larabi, K. Lau, M. A. S. Perez, G. Croce, R. Genolet, G. Coukos, V. Zoete, F. Pojer, M. Bassani-Sternberg, A. Harari, D. Gfeller

The paper predicts MHC-II epitope specificities using machine learning, revealing a reverse binding mode in ligands across multiple species.

bioRxiv · Jun 26, 2022Immunology

Deciphering the landscape of phosphorylated HLA-II ligands

M. Solleder, J. Racle, P. Guillaume, G. Coukos, M. Bassani-Sternberg, D. Gfeller

The paper identifies 1,113 unique phosphorylated HLA-II ligands and develops a predictor for their presentation on HLA-II molecules.

bioRxiv · Jun 29, 2021Immunology

Mass spectrometry based immunopeptidomics leads to robust predictions of phosphorylated HLA class I ligands

M. Solleder, P. Guillaume, J. Racle, J. Michaux, H.-S. Pak, M. Muller, G. Coukos, M. Bassani-Sternberg, D. Gfeller

The paper curates phosphorylated HLA-I ligands and develops a predictor for their interaction with HLA-I molecules.

bioRxiv · Nov 9, 2019Immunology

Deep motif deconvolution of HLA-II peptidomes for robust class II epitope predictions

J. Racle, J. Michaux, G. A. Rockinger, M. Arnaud, S. Bobisse, C. Chong, P. Guillaume, G. Coukos, A. Harari, C. Jandus, M. Bassani-Sternberg, D. Gfeller

The paper improves HLA-II epitope prediction by combining mass spectrometry data with a new motif deconvolution algorithm, enhancing motif definition and prediction accuracy.

bioRxiv · Feb 3, 2019Immunology

The length distribution and multiple specificity of naturally presented HLA-I ligands

D. Gfeller, P. Guillaume, J. Michaux, H.-S. Pak, R. T. Daniel, J. Racle, G. Coukos, M. Bassani-Sternberg

The paper analyzes HLA-I ligand length distribution and multiple specificity using HLA peptidomics data from human meningioma samples, improving predictions of naturally presented ligands.

bioRxiv · Sep 7, 2018Immunology

The C-terminal extension landscape of naturally presented HLA-I ligands

P. Guillaume, S. Picaud, P. Baumgaertner, N. Montandon, J. Schmidt, D. E. Speiser, G. Coukos, M. Bassani-Sternberg, P. Fillipakopoulos, D. Gfeller

The paper identifies frequent C-terminal extensions in HLA-I ligands across multiple alleles and demonstrates their recognition by CD8+ T cells.

bioRxiv · Nov 2, 2017Immunology