Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Arthur Declercq"'
Autor:
David Gomez-Zepeda, Danielle Arnold-Schild, Julian Beyrle, Arthur Declercq, Ralf Gabriels, Elena Kumm, Annica Preikschat, Mateusz Krzysztof Łącki, Aurélie Hirschler, Jeewan Babu Rijal, Christine Carapito, Lennart Martens, Ute Distler, Hansjörg Schild, Stefan Tenzer
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-18 (2024)
Abstract Human leukocyte antigen (HLA) class I peptide ligands (HLAIps) are key targets for developing vaccines and immunotherapies against infectious pathogens or cancer cells. Identifying HLAIps is challenging due to their high diversity, low abund
Externí odkaz:
https://doaj.org/article/154f3e9e47394f8b9f6d870b4ac45be5
Publikováno v:
Journal of Proteome Research. 22:557-560
A plethora of proteomics search engine output file formats are in circulation. This lack of standardized output files greatly complicates generic downstream processing of peptide-spectrum matches (PSMs) and PSM files. While standards exist to solve t
Autor:
Arthur Declercq, Robbin Bouwmeester, Cristina Chiva, Eduard Sabidó, Aurélie Hirschler, Christine Carapito, Lennart Martens, Sven Degroeve, Ralf Gabriels
Publikováno v:
Nucleic Acids Research.
Interest in the use of machine learning for peptide fragmentation spectrum prediction has been strongly on the rise over the past years, especially for applications in challenging proteomics identification workflows such as immunopeptidomics and the
Autor:
David Teschner, David Gomez-Zepeda, Mateusz K. Łącki, Ute Distler, Institute for Immunology, University Medical Center of the Johannes Gutenberg University, Mainz, 55128, GermanyThomas Michna, Stefan Tenzer, Arthur Declercq, Lennart Martens, Andreas Hildebrandt, Seymen Avci, Konstantin Bob
Pre-processed datasets used to train machine learning models of ionmob python package: https://github.com/theGreatHerrLebert/ionmob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6de785b9de9d87203aee7f1656a0d1f5
Autor:
Arthur, Declercq, Robbin, Bouwmeester, Aurélie, Hirschler, Christine, Carapito, Sven, Degroeve, Lennart, Martens, Ralf, Gabriels
Publikováno v:
Molecularcellular proteomics : MCP. 21(8)
Immunopeptidomics aims to identify major histocompatibility complex (MHC)-presented peptides on almost all cells that can be used in anti-cancer vaccine development. However, existing immunopeptidomics data analysis pipelines suffer from the nontrypt
Autor:
Arthur Declercq, Robbin Bouwmeester, Aurélie Hirschler, Christine Carapito, Sven Degroeve, Lennart Martens, Ralf Gabriels
Immunopeptidomics aims to identify immunopeptides, which are presented on Major Histocompatibility Complexes (MHC) on every cell and can be used to develop vaccines against pathogens and cancer. However, existing immunopeptidomics data analysis pipel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12d88efa324cc505ccf0d81819f2c6c6
https://doi.org/10.1101/2021.11.02.466886
https://doi.org/10.1101/2021.11.02.466886
Autor:
Arthur Declercq, Robbin Bouwmeester, Aurélie Hirschler, Christine Carapito, Sven Degroeve, Lennart Martens, Ralf Gabriels
Publikováno v:
Mol Cell Proteomics
MOLECULAR & CELLULAR PROTEOMICS
MOLECULAR & CELLULAR PROTEOMICS
Immunopeptidomics aims to identify major histocompati-bility complex (MHC)-presented peptides on almost all cells that can be used in anti-cancer vaccine development. However, existing immunopeptidomics data analysis pipelines suffer from the nontryp