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Found 4 papers, 2 papers with code
NovoBench: Benchmarking Deep Learning-based De Novo Peptide Sequencing Methods in Proteomics
In this work, we present the first unified benchmark NovoBench for \emph{de novo} peptide sequencing, which comprises diverse mass spectrum data, integrated models, and comprehensive evaluation metrics.
AdaNovo: Adaptive \emph{De Novo} Peptide Sequencing with Conditional Mutual Information
Moreover, AdaNovo excels in identifying amino acids with PTMs and exhibits robustness against data noise.
ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing
De novo peptide sequencing from mass spectrometry (MS) data is a critical task in proteomics research.
Introducing π-HelixNovo for practical large-scale de novo peptide sequencing
De novo peptide sequencing is a promising approach for novel peptide discovery.
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