SOTAVerified

de novo peptide sequencing

De novo peptide sequencing refers to the process of determining the amino acid sequence of a peptide without prior knowledge of the DNA or protein it comes from. This technique is used in proteomics to analyze proteins and peptides, especially when the genomic sequence of the organism is unknown or the protein sequence is not available in databases.

The process typically involves mass spectrometry (MS), where peptides are ionized and fragmented. The mass spectrometer measures the masses of these peptide fragments. By analyzing the mass differences between the fragments, the machine learning model can infer the sequence of amino acids in the peptide.

This method is particularly useful for studying proteins from organisms with unsequenced genomes, post-translational modifications, and for discovering new proteins or variants.

Papers

Showing 1120 of 24 papers

TitleStatusHype
Uncovering Thousands of New Peptides with Sequence-Mask-Search Hybrid De Novo Peptide Sequencing FrameworkCode1
De novo peptide sequencing by deep learningCode1
Disentangling the Complex Multiplexed DIA Spectra in De Novo Peptide SequencingCode0
NovoBench: Benchmarking Deep Learning-based De Novo Peptide Sequencing Methods in Proteomics0
AdaNovo: Adaptive De Novo Peptide Sequencing with Conditional Mutual Information0
Transformer-based de novo peptide sequencing for data-independent acquisition mass spectrometryCode0
PGPointNovo: an efficient neural network-based tool for parallel de novo peptide sequencingCode0
DPST: De Novo Peptide Sequencing with Amino-Acid-Aware TransformersCode0
DePS: An improved deep learning model for de novo peptide sequencing0
Improving the Results of De novo Peptide Identification via Tandem Mass Spectrometry Using a Genetic Programming-based Scoring Function for Re-ranking Peptide-Spectrum Matches0
Show:102550
← PrevPage 2 of 3Next →

No leaderboard results yet.