A graph-theoretic approach for the separation of b and y ions in tandem mass spectra
peer-reviewed · Bioinformatics · 2005
| Date | 2005-03-01 |
| Type | peer-reviewed |
| Venue | Bioinformatics |
| Publisher | Oxford University Press (OUP) |
| Contribution | adjacent |
| DOI | 10.1093/bioinformatics/bti044 |
| Citations (OpenAlex) | 40 |
| Venue 2-year citedness | 6.16 |
Abstract
Motivation Ion-type identification is a fundamental problem in computational proteomics. Methods for accurate identification of ion types provide the basis for many mass spectrometry data interpretation problems, including (a) de novo sequencing, (b) identification of post-translational modifications and mutations and (c) validation of database search results. Results Here, we present a novel graph-theoretic approach for solving the problem of separating b ions from y ions in a set of tandem mass spectra. We represent each spectral peak as a node and consider two types of edges: type-1 edge connecting two peaks probably of the same ion types and type-2 edge connecting two peaks probably of different ion types. The problem of ion-separation is formulated and solved as a graph partition problem, which is to partition the graph into three subgraphs, representing b, y and others ions, respectively, through maximizing the total weight of type-1 edges while minimizing the total weight of type-2 edges within each partitioned subgraph. We have developed a dynamic programming algorithm for rigorously solving this graph partition problem and implemented it as a computer program PRIME (PaRtition of Ion types in tandem Mass spEctra). The tests on a large amount of simulated mass spectra and 19 sets of high-quality experimental Fourier transform ion cyclotron resonance tandem mass spectra indicate that an accuracy level of approximately 90% for the separation of b and y ions was achieved. Availability The executable code of PRIME is available upon request. Contact .
Methods and tools
- Graph-theoretic b/y ion separation: Separates b ions from y ions in MS/MS spectra by partitioning a graph of same-type and different-type peak relations, as a foundation for de novo sequencing.
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Cited by (11)
- Algorithms for de-novo sequencing of peptides by tandem mass spectrometry: A review (2023) crossref
- Classification of B and Y Ions in Peptide MS/MS Spectra Based on Machine Learning (2023) both
- A New Parameterized Algorithm for Rapid Peptide Sequencing (2014) both
- Algorithms for the de novo sequencing of peptides from tandem mass spectra (2011) crossref
- ProbPS: A new model for peak selection based on quantifying the dependence of the existence of derivative peaks on primary ion intensity (2011) both
- Rapid and Accurate Generation of Peptide Sequence Tags with a Graph Search Approach (2011) crossref
- Algorithm Development of de novo Peptide Sequencing Via Tandem Mass Spectrometry (2010) crossref
- A high-throughput de novo sequencing approach for shotgun proteomics using high-resolution tandem mass spectrometry (2010) both
- Mass spectrometric genomic data mining: Novel insights into bioenergetic pathways in Chlamydomonas reinhardtii (2006) crossref
- Peptide Identification by Tandem Mass Spectra: An Efficient Parallel Searching (2006) crossref
- PRIME: A Mass Spectrum Data Mining Tool for De Nova Sequencing and PTMs Identification (2005) crossref