Metaproteomics
2 workflows · 2022–2024
Metaproteomics: Mixed microbial communities, where which organisms are present is part of the question. 2 catalogued workflows and 2 papers.
Mixed microbial communities, where which organisms are present is part of the question.
| Workflows | 2 |
| Papers | 2 |
| Authors | 13 |
| Active | 2022-07-06 to 2024-11-15 |
Workflows (2)
- Kaiko (2022): Deep-learning (CNN + RNN) de novo peptide sequencer trained on 5 M peptide-spectrum matches from 55 phylogenetically diverse bacteria. Identifies microbial community members directly from metaproteomic MS/MS, then builds sample-specific protein databases without requiring matched metagenomes: validated on native soil microbiome samples.
- Orthrus (2024): Open-source metaproteomics pipeline combining Casanovo transformer-based de novo sequencing with Sage database search and Mokapot rescoring.
Papers (2)
- Uncovering Hidden Members and Functions of the Soil Microbiome Using De Novo Metaproteomics (2022, Journal of Proteome Research, peer-reviewed)
- Orthrus: an AI-powered, cloud-ready, and open-source hybrid approach for metaproteomics (2024, bioRxiv, preprint)
Where the work happened
Denmark, France, UK, USA