Wassim Gabriel
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Explore the profile of Wassim Gabriel including associated specialties, affiliations and a list of published articles.
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11
Citations
63
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Recent Articles
1.
Gabriel W, Gonzalez R, Laposchan S, Riedel E, Dundar G, Poppenberger B, et al.
Mol Cell Proteomics
. 2025 Feb;
24(3):100924.
PMID: 39921205
Citrullination is a critical yet understudied post-translational modification (PTM) implicated in various biological processes. Exploring its role in health and disease requires a comprehensive understanding of the prevalence of this...
2.
The M, Picciani M, Jensen C, Gabriel W, Kuster B, Wilhelm M
Methods Mol Biol
. 2024 Jul;
2836:157-181.
PMID: 38995541
Proteomics, the study of proteins within biological systems, has seen remarkable advancements in recent years, with protein isoform detection emerging as one of the next major frontiers. One of the...
3.
Lautenbacher L, Yang K, Kockmann T, Panse C, Chambers M, Kahl E, et al.
bioRxiv
. 2024 Jun;
PMID: 38895358
Recent developments in machine-learning (ML) and deep-learning (DL) have immense potential for applications in proteomics, such as generating spectral libraries, improving peptide identification, and optimizing targeted acquisition modes. Although new...
4.
Adams C, Gabriel W, Laukens K, Picciani M, Wilhelm M, Bittremieux W, et al.
Nat Commun
. 2024 May;
15(1):3956.
PMID: 38730277
Immunopeptidomics is crucial for immunotherapy and vaccine development. Because the generation of immunopeptides from their parent proteins does not adhere to clear-cut rules, rather than being able to use known...
5.
Gabriel W, Picciani M, The M, Wilhelm M
Methods Mol Biol
. 2024 Mar;
2758:457-483.
PMID: 38549030
Liquid chromatography-coupled mass spectrometry (LC-MS/MS) is the primary method to obtain direct evidence for the presentation of disease- or patient-specific human leukocyte antigen (HLA). However, compared to the analysis of...
6.
Picciani M, Gabriel W, Giurcoiu V, Shouman O, Hamood F, Lautenbacher L, et al.
Proteomics
. 2023 Sep;
24(8):e2300112.
PMID: 37672792
Machine learning (ML) and deep learning (DL) models for peptide property prediction such as Prosit have enabled the creation of high quality in silico reference libraries. These libraries are used...
7.
McGann C, Barshop W, Canterbury J, Lin C, Gabriel W, Huang J, et al.
J Proteome Res
. 2023 Aug;
22(9):2836-2846.
PMID: 37557900
Sample multiplexed quantitative proteomics assays have proved to be a highly versatile means to assay molecular phenotypes. Yet, stochastic precursor selection and precursor coisolation can dramatically reduce the efficiency of...
8.
Gabriel W, Giurcoiu V, Lautenbacher L, Wilhelm M
Proteomics
. 2022 May;
22(19-20):e2100257.
PMID: 35578405
Isobaric labeling increases the throughput of proteomics by enabling the parallel identification and quantification of peptides and proteins. Over the past decades, a variety of isobaric tags have been developed...
9.
Gabriel W, The M, Zolg D, Bayer F, Shouman O, Lautenbacher L, et al.
Anal Chem
. 2022 May;
94(20):7181-7190.
PMID: 35549156
The prediction of fragment ion intensities and retention time of peptides has gained significant attention over the past few years. However, the progress shown in the accurate prediction of such...
10.
Ekvall M, Truong P, Gabriel W, Wilhelm M, Kall L
J Proteome Res
. 2022 Apr;
21(5):1359-1364.
PMID: 35413196
Machine learning has been an integral part of interpreting data from mass spectrometry (MS)-based proteomics for a long time. Relatively recently, a machine-learning structure appeared successful in other areas of...