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ProteomicsMS²Rescore: Data-driven rescoring dramatically boosts immunopeptide identification rates
Immunopeptidomics aims to identify Major Histocompatibility Complex-presented peptides on every cell that can be used in anti-cancer vaccine development. However, existing immunopeptidomics data analysis pipelines suffer from the non-tryptic nature of immunopeptides, complicating their identificatio...
ORGANISM(S): Homo sapiens (Human) 
2022-07-11 | PXD033868 | Pride
Q exactive hf-x Human Immunopeptidomics 
ProteomicsIonmob: A Python Package for Prediction of Peptide Collisional Cross-Section Values
Motivation: Including ion mobility separation (IMS) into mass spectrometry proteomics experiments is useful to improve coverage and throughput. Many IMS devices enable linking experimentally derived mobility of an ion to its collisional cross-section (CCS), a highly reproducible physicochemical pro...
ORGANISM(S): Homo Sapiens (human) Mus Musculus (mouse) 
2023-09-21 | PXD043026 | JPOST Repository
ProteomicsTIMS²Rescore: A DDA-PASEF optimized data-driven rescoring pipeline based on MS²Rescore - Plasma proteomics
The high throughput analysis of proteins with mass spectrometry (MS) is highly valuable for understanding human biology, discovering disease biomarkers, identifying therapeutic targets, and exploring pathogen interactions. To achieve these goals, specialized proteomics subfields – such as plasma pro...
ORGANISM(S): Homo sapiens (Human) 
2025-02-17 | PXD053748 | Pride
Plasma Data-driven rescoring 
ProteomicsThunder-DDA-PASEF enables high-coverage immunopeptidomics and is boosted by MS2Rescore with novel MS2PIP timsTOF fragmentation prediction model
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 abundance, and patient individuality. Here, we developed a highl...
ORGANISM(S): Homo Sapiens (human) 
2024-03-18 | PXD040385 | JPOST Repository
UnknownOptimising the care for older persons with complex chronic conditions in home care and nursing homes: design and protocol of I-CARE4OLD, an observational study using real-world data.
Not available
S-EPMC10314651 | biostudies-literature
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