ArticleJournal of proteome research2021
Tailoring to Search Engines: Bottom-Up Proteomics with Collision Energies Optimized for Identification Confidence.
Article in Journal of proteome research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed, 20 citations in OpenAlex.
- The Isolation and Characterization of ACE Inhibitory Peptides fromFoods (Basel, Switzerland) · 2026Article
- The impact of exercise on skeletal muscle proteome of prediabetic subjects analyzed with data independent mass spectrometry.Scientific reports · 2025Article
- The Enzyme Effect: Broadening the Horizon of MS Optimization to Nontryptic Digestion in Proteomics.Journal of the American Society for Mass Spectrometry · 2025Article
- Can We BoostJournal of the American Society for Mass Spectrometry · 2024Article
- Very Low-Pressure CID Experiments: High Energy Transfer and Fragmentation Pattern at the Single Collision Regime.Molecules (Basel, Switzerland) · 2023Article
- Diversity Matters: Optimal Collision Energies for Tandem Mass Spectrometric Analysis of a Large Set of N-Glycopeptides.Journal of proteome research · 2022Article
- Paleoproteomics.Chemical reviews · 2022Review
- Mesh Fragmentation Improves Dissociation Efficiency in Top-down Proteomics.Journal of the American Society for Mass Spectrometry · 2021Article
- Unraveling Posttranslational Modification Complexity: Advances in Quantitative Histone Proteoform Mass Spectrometry.Mass spectrometry reviewsReview
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bottom-up proteomics relies on identification of peptides from tandem mass spectra, usually via matching against sequence databases. Confidence in a peptide-spectrum match can be characterized by a score value given by the database search engines, and it depends on the information content and the quality of the spectrum. The latter are influenced by experimental parameters, of which the collision energy is the most important one in the case of collision-induced dissociation. We examined how the identification score of the Byonic and Andromeda (MaxQuant) engines varies with collision energy for more than a thousand individual peptides from a HeLa tryptic digest on a QTof instrument. We thereby extended our earlier study on Mascot scores and corroborated its findings on the potential bimodal nature of this energy dependence. Optimal energies as a function of
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.