Protein Language Model Decoys for Target Decoy Competition in Proteomics: Quality Assessment and Benchmarks
Grigory Reznikov, Fabrice Kusters, Majid Mohammadi, Henk van den Toorn, Pavel G. Sinitcyn
This paper introduces a protein language model-based decoy generation method for proteomics and benchmarks it against classical decoy strategies, finding it less distinguishable by neural networks but not superior in search performance.
Journal of Proteome Research · Aug 18, 2026Peer-reviewedBioinformatics