Algorithms for de novo peptide sequencing using tandem mass spectrometry
peer-reviewed · Drug Discovery Today: BIOSILICO · 2004
peer-reviewed · Drug Discovery Today: BIOSILICO · 2004. Bingwen Lu et al.
| Date | 2004-03-01 |
| Type | peer-reviewed |
| Venue | Drug Discovery Today: BIOSILICO |
| Publisher | Elsevier BV |
| Contribution | review |
| DOI | 10.1016/S1741-8364(04)02387-X |
| Citations (OpenAlex) | 47 |
| Venue 2-year citedness | 0.00 |
Methods and tools
- Algorithms for de novo peptide sequencing (early review): Review of algorithms for de novo peptide sequencing using tandem mass spectrometry.
Cites (9)
- A Suboptimal Algorithm for De Novo Peptide Sequencing via Tandem Mass Spectrometry (2003) crossref
- A Dynamic Programming Approach to De Novo Peptide Sequencing via Tandem Mass Spectrometry (2001) crossref
- De novo peptide sequencing via tandem mass spectrometry (1999) crossref
- Role of Accurate Mass Measurement (±10 ppm) in Protein Identification Strategies Employing MS or MS/MS and Database Searching (1999) crossref
- Sequence database searches via de novo peptide sequencing by tandem mass spectrometry (1997) crossref
- Error-Tolerant Identification of Peptides in Sequence Databases by Peptide Sequence Tags (1994) crossref
- Fast algorithm for peptide sequencing by mass spectroscopy (1990) crossref
- Computer program (SEQPEP) to aid in the interpretation of high-energy collision tandem mass spectra of peptides (1989) crossref
- PAAS 3: A computer program to determine probable sequence of peptides from mass spectrometric data (1984) crossref
Cited by (24)
- Disentangling the Complex Multiplexed DIA Spectra in De Novo Peptide Sequencing (2024) semanticscholar
- Transforming de novo peptide sequencing by explainable AI (2024) crossref
- Mitigating the missing-fragmentation problem in de novo peptide sequencing with a two-stage graph-based deep learning model (2023) both
- Critical evaluation of the use of artificial data for machine learning based de novo peptide identification (2023) both
- The impact of noise and missing fragmentation cleavages on de novo peptide identification algorithms (2022) both
- Extended Snake Venomics by Top-Down In-Source Decay: Investigating the Newly Discovered Anatolian Meadow Viper Subspecies, Vipera anatolica senliki (2020) crossref
- A potential golden age to come—current tools, recent use cases, and future avenues for de novo sequencing in proteomics (2018) crossref
- Evaluating de novo sequencing in proteomics: already an accurate alternative to database-driven peptide identification? (2017) crossref
- NovoExD: De novo Peptide Sequencing for ETD/ECD Spectra (2017) crossref
- Open-pNovo: De Novo Peptide Sequencing with Thousands of Protein Modifications (2017) crossref
- Spectra library assisted de novo peptide sequencing for HCD and ETD spectra pairs (2016) both
- De novo peptide sequencing using CID and HCD spectra pairs (2016) crossref
- Peptide de novo sequencing of mixture tandem mass spectra (2016) both
- A Framework of De Novo Peptide Sequencing for Multiple Tandem Mass Spectra (2015) crossref
- NovoPair: De novo peptide sequencing for tandem mass spectra pair (2014) crossref
- NovoGMET: De Novo Peptide Sequencing Using Graphs with Multiple Edge Types (GMET) for ETD/ECD Spectra (2014) crossref
- NovoHCD: De novo Peptide Sequencing From HCD Spectra (2014) crossref
- A multi-edge graph based de novo peptide sequencing method for HCD spectra (2013) crossref
- Algorithms for the de novo sequencing of peptides from tandem mass spectra (2011) crossref
- Metaheuristics based de novo protein sequencing: A new approach (2011) crossref
- Algorithm Development of de novo Peptide Sequencing Via Tandem Mass Spectrometry (2010) crossref
- Spectral Dictionaries: Integrating de novo Peptide Sequencing with Database Search of Tandem Mass Spectra (2009) semanticscholar
- ON PREPROCESSING AND ANTISYMMETRY IN DE NOVO PEPTIDE SEQUENCING: IMPROVING EFFICIENCY AND ACCURACY (2008) crossref
- A Dynamic Programming Algorithm for De Novo Peptide Sequencing with Variable Scoring (2008) crossref