The Proteome Landscape of the Kingdoms of Life
benchmark · DDA · 1 version · 7 papers
A cross-kingdom proteomics survey, deposited as two accessions and reused as a generalisation test across species.
| Kind | benchmark |
| Acquisition | DDA |
| Organisms | Arabidopsis thaliana (mouse-ear cress), Bos taurus (bovine), Caenorhabditis elegans, Danio rerio (zebrafish) (brachydanio rerio), Dictyostelium discoideum (slime mold), Drosophila melanogaster (fruit fly), Escherichia coli, Gallus gallus (chicken), Homo sapiens (human), Mus musculus (mouse), Rattus norvegicus (rat), Saccharomyces cerevisiae (baker’s yeast), Sus scrofa domesticus (domestic pig), Triticum aestivum (wheat), Vitis vinifera (grape) |
A cross-kingdom proteomics survey, deposited as two accessions and reused as a generalisation test across species.
Versions
as deposited
released 2019-08-01
Where it lives:
Used by (7)
- Learning from tandem mass spectra at scale with a self-supervised foundation model for proteomics (2026) preprint as deposited
- A large-scale unified deep learning model for peptide mass spectrum interpretation trained on multimodal data (2026) peer-reviewed as deposited
- π-MSNet: A billion-scale, AI-ready living proteomics data portal (2026) preprint as deposited
- De novo peptide sequencing rescoring and FDR estimation with Winnow (2025) preprint as deposited
- π-PrimeNovo: an accurate and efficient non-autoregressive deep learning model for de novo peptide sequencing (2024) preprint as deposited
- Accurate de novo peptide sequencing using fully convolutional neural networks (2023) peer-reviewed as deposited
- PepNet: A Fully Convolutional Neural Network for De novo Peptide Sequencing (2022) preprint as deposited
Methods on these papers (6)
- InstaNovo-FM algorithm
- PepNet algorithm
- Winnow post-processor
- pUniFind algorithm
- π-MSNet adjacent
- π-PrimeNovo algorithm
Taken from the describing links only, so a paper that merely ran a tool on this data does not make that tool a method of it.