De Novo Sequencing Methods in Proteomics
peer-reviewed · Methods in Molecular Biology · 2009
| Date | 2009-12-05 |
| Type | peer-reviewed |
| Venue | Methods in Molecular Biology |
| Publisher | Humana Press |
| Contribution | review |
| DOI | 10.1007/978-1-60761-444-9_8 |
| Citations (OpenAlex) | 94 |
| Venue 2-year citedness | 1.14 |
Abstract
The review describes methods of de novo sequencing of peptides by mass spectrometry. De novo methods utilize computational approaches to deduce the sequence or partial sequence of peptides directly from the experimental MS/MS spectra. The concepts behind a number of de novo sequencing methods are discussed. The other approach to identify peptides by tandem mass spectrometry is to match the fragment ions with virtual peptide ions generated from a genomic or protein database. De novo methods are essential to identify proteins when the genomes are not known but they are also extremely useful even when the genomes are known since they are not affected by errors in a search database. Another advantage of de novo methods is that the partial sequence can be used to search for posttranslation modifications or for the identification of mutations by homology based software.
Methods and tools
- De novo sequencing methods in proteomics (review): Methods in Molecular Biology chapter describing de novo sequencing of peptides by mass spectrometry and the concepts behind the main algorithms.
Cites (22)
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- Regressor-guided Diffusion Model for De Novo Peptide Sequencing with Explicit Mass Control (2026) semanticscholar
- Mapping protein variants associated with Alzheimer’s disease by mass-spectrometry based de novo sequencing assisted strategy (2026) crossref
- Compositional profiling of protein hydrolysates by high resolution liquid chromatography–mass spectrometry and chemometric analysis (2025) both
- MARLOWE: Taxonomic Characterization of Unknown Samples for Forensics Using De Novo Peptide Identification (2025) crossref
- InstaNovo enables diffusion-powered de novo peptide sequencing in large-scale proteomics experiments (2025) both
- De novo peptide sequencing with InstaNovo: Accurate, database-free peptide identification for large scale proteomics experiments (2023) both
- Accurate discrimination of leucine and isoleucine residues by combining continuous digestion with multiple MS3 spectra integration in protein sequence (2022) crossref
- Metaproteomic Characterization of Forensic Samples (2022) crossref
- Proteomic Analysis of the Blood of Alligator mississippiensis (2022) semanticscholar
- De novo sequencing of proteins by mass spectrometry (2020) both
- Neurotrophic properties and the de novo peptide sequencing of edible bird’s nest extracts (2019) crossref
- Improved de novo peptide sequencing using LC retention time information (2018) both
- Combinatorial Labeling Method for Improving Peptide Fragmentation in Mass Spectrometry (2017) crossref
- A better scoring model for de novo peptide sequencing: the symmetric difference between explained and measured masses (2017) both
- Comprehensive de Novo Peptide Sequencing from MS/MS Pairs Generated through Complementary Collision Induced Dissociation and 351 nm Ultraviolet Photodissociation (2017) semanticscholar
- Paired single residue‐transposed Lys‐N and Lys‐C digestions for label‐free identification of N‐terminal and C‐terminal MS/MS peptide product ions: ultrahigh resolution Fourier transform ion cyclotron resonance mass spectrometry and tandem mass spectrometry for peptide de novo sequencing (2015) crossref
- Characterization of the gila monster (Heloderma suspectum suspectum) venom proteome (2015) both
- MS/MS Spectra Interpretation as a Statistical–Mechanics Problem (2013) crossref
- Isolation and determination of the primary structure of a lectin protein from the serum of the American alligator (Alligator mississippiensis) (2012) crossref