ArticleJournal of proteome research2021
ProteaseGuru: A Tool for Protease Selection in Bottom-Up Proteomics.
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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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- A New Detailed Mass Offset Search in MSFragger for Improved Interpretation of Complex PTMs.Journal of proteome research · 2026Article
- CoMPaseD: advanced planning of proteomic experiments aiming to identify small proteins.microLife · 2026Article
- Instrumentation at the Leading Edge of Proteomics.Analytical chemistry · 2024Review
- Fit for Purpose Approach To Evaluate Detection of Amino Acid Substitutions in Shotgun Proteomics.Journal of proteome research · 2024Article
- ProtView: A Versatile Tool forJournal of proteome research · 2023Article
- PrIntMap-R: An Online Application for Intraprotein Intensity and Peptide Visualization from Bottom-Up Proteomics.Journal of proteome research · 2023Article
- Applications of MALDI-MS/MS-Based Proteomics in Biomedical Research.Molecules (Basel, Switzerland) · 2022Review
- A Practical Guide to Small Protein Discovery and Characterization Using Mass Spectrometry.Journal of bacteriology · 2022Article
- Analysis of pancreatic extracellular matrix protein post-translational modificationsMolecular omics · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Bottom-up proteomics is currently the dominant strategy for proteome analysis. It relies critically upon the use of a protease to digest proteins into peptides, which are then identified by liquid chromatography-mass spectrometry (LC-MS). The choice of protease(s) has a substantial impact upon the utility of the bottom-up results obtained. Protease selection determines the nature of the peptides produced, which in turn affects the ability to infer the presence and quantities of the parent proteins and post-translational modifications in the sample. We present here the software tool ProteaseGuru, which provides in silico digestions by candidate proteases, allowing evaluation of their utility for bottom-up proteomic experiments. This information is useful for both studies focused on a single or small number of proteins, and for analysis of entire complex proteomes. ProteaseGuru provides a convenient user interface, valuable peptide information, and data visualizations enabling the comparison of digestion results of different proteases. The information provided includes data tables of theoretical peptide sequences and their biophysical properties, results summaries outlining the numbers of shared and unique peptides per protease, histograms facilitating the comparison of proteome-wide proteolytic data, protein-specific summaries, and sequence coverage maps. Examples are provided of its use to inform analysis of variant-containing proteins in the human proteome, as well as for studies requiring the use of multiple proteomic databases such as a human:mouse xenograft model, and microbiome metaproteomics.
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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.