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This project provides a large-scale training dataset for DDA-BERT, an end-to-end transformer-based deep learning model developed for PSM rescoring in data-dependent acquisition (DDA) proteomics. The dataset comprises curated PSMs generated using established database search engines, including FragPip...
ORGANISM(S): Chlamydomonas reinhardtii Glycine max Arabidopsis thaliana (Mouse-ear cress) Homo sapiens (Human) Mus musculus (Mouse) Escherichia coli Saccharomyces cerevisiae (Baker's yeast) Caenorhabditis elegans Rattus norvegicus (Rat) Bacillus cereus Bacillus subtilis 
2026-08-24 | PXD072999 | Pride
Background and Aims: Colorectal adenomas (CRAs) are precursor lesions that can progress to adenocarcinomas. Current clinical guidelines categorize patients into risk groups based on adenoma characteristics observed during index colonoscopy, but this may lead to overtreatment. Our aim was to establis...
ORGANISM(S): Homo sapiens (Human) 
2024-08-04 | PXD046999 | Pride
High resolution mass spectrometry-based proteomics generates large amounts of data, even in the standard liquid chromatography (LC) – tandem mass spectrometry configuration. Adding an ion mobility dimension vastly increases the acquired data volume, challenging both analytical processing pipe...
ORGANISM(S): Homo sapiens (Human) 
2021-07-30 | PXD027359 | Pride
Although current mass spectrometry (MS)-based proteomics identifies and quantifies thousands of proteins and (modified) peptides, only a minority of them are subjected to in-depth downstream analysis. With the advent of automated processing workflows, biologically or clinically important results wit...
ORGANISM(S): Homo sapiens (Human) 
2022-07-11 | PXD034223 | Pride
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