Evidence map›Paper›PMID 41541604›Full record

ArticlemicroLife2026

CoMPaseD: advanced planning of proteomic experiments aiming to identify small proteins.

Jürgen Bartel, Philipp T Kaulich, Borja Ferrero-Bordera, Rick Gelhausen, Rolf Backofen, Andreas Tholey, Sandra Maaß

Abstract read
In one paragraph

Article in microLife, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jürgen BartelDepartment of Microbial Proteomics, Institute of Microbiology, Center of Functional Genomics of Microbes, University of Greifswald, 17489 Greifswald, Germany.ORCID https://orcid.org/0000-0001-9781-8156
Philipp T KaulichSystematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, 24118 Kiel, Germany.ORCID https://orcid.org/0009-0000-7258-3565
Borja Ferrero-BorderaDepartment of Microbial Proteomics, Institute of Microbiology, Center of Functional Genomics of Microbes, University of Greifswald, 17489 Greifswald, Germany.ORCID https://orcid.org/0000-0002-6535-8607
Rick GelhausenBioinformatics Group, Department of Computer Science, University of Freiburg, 79110 Freiburg, Germany.ORCID https://orcid.org/0000-0003-4161-4394
Rolf BackofenBioinformatics Group, Department of Computer Science, University of Freiburg, 79110 Freiburg, Germany.ORCID https://orcid.org/0000-0001-8231-3323
Andreas TholeySystematic Proteome Research & Bioanalytics, Institute for Experimental Medicine, Christian-Albrechts-Universität zu Kiel, 24118 Kiel, Germany.ORCID https://orcid.org/0000-0002-8687-6817
Sandra MaaßDepartment of Microbial Proteomics, Institute of Microbiology, Center of Functional Genomics of Microbes, University of Greifswald, 17489 Greifswald, Germany.ORCID https://orcid.org/0000-0002-6573-1088

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In proteome studies, the application of alternative proteases, exclusively or in addition to trypsin, often increases protein sequence or proteome coverage. It has recently been shown that, in particular, the analysis of small proteins benefits from such multi-protease approaches. However, selecting the most optimal combination of proteases either requires laboursome experiments or the decision of an experienced user, which might be biased. In this manuscript, we present a protease score that enables the objective comparison of multiple-protease digestions and a Python-based tool named CoMPaseD (Comparison of Multiple Protease  Digestions), which utilizes Monte-Carlo simulations to predict this score for a user-defined set of proteases and any combination of these. By analysis of the small proteomes of the two model organisms

Indexed as

alternative proteaseexperiment designprotein digestionproteomicssmall proteinssoftware

Identifiers

PMID41541604
PMCPMC12802878

What OpenQuestion holds

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Registered trials

None linked

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.