Evidence map›Paper›PMID 34791421›Full record

ArticleNucleic acids research2022

ProteomicsDB: toward a FAIR open-source resource for life-science research.

Ludwig Lautenbacher, Patroklos Samaras, Julian Muller, Andreas Grafberger, Marwin Shraideh, Johannes Rank, Simon T Fuchs, Tobias K Schmidt, Matthew The, Christian Dallago and 5 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

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  20. Decision Tree for Protein Biomarker Selection for Clinical Applications.Methods in molecular biology (Clifton, N.J.) · 2025
    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

15 authors.

Ludwig LautenbacherTechnical University of Munich, Computational Mass Spectrometry, 85354 Freising, Bavaria, Germany.ORCID 0000-0002-1540-5911
Patroklos SamarasTechnical University of Munich, Chair of Proteomics and Bioanalytics, 85354 Freising, Bavaria, Germany.ORCID 0000-0001-6042-1585
Julian MullerTechnical University of Munich, Chair of Proteomics and Bioanalytics, 85354 Freising, Bavaria, Germany.
Andreas GrafbergerTechnical University of Munich, Chair of Proteomics and Bioanalytics, 85354 Freising, Bavaria, Germany.
Marwin ShraidehTechnical University of Munich, Chair for Information Systems, 85748 Garching, Bavaria, Germany.
Johannes RankTechnical University of Munich, Chair for Information Systems, 85748 Garching, Bavaria, Germany.
Simon T FuchsTechnical University of Munich, Chair for Information Systems, 85748 Garching, Bavaria, Germany.
Tobias K SchmidtTechnical University of Munich, Chair of Proteomics and Bioanalytics, 85354 Freising, Bavaria, Germany.ORCID 0000-0002-1883-6514
Matthew TheTechnical University of Munich, Chair of Proteomics and Bioanalytics, 85354 Freising, Bavaria, Germany.
Christian DallagoTechnical University of Munich, Department for Bioinformatics and Computational Biology, 85748 Garching, Bavaria, Germany.ORCID 0000-0003-4650-6181
Holger WittgesTechnical University of Munich, Chair for Information Systems, 85748 Garching, Bavaria, Germany.
Burkhard RostTechnical University of Munich, Department for Bioinformatics and Computational Biology, 85748 Garching, Bavaria, Germany.
Helmut KrcmarTechnical University of Munich, Chair for Information Systems, 85748 Garching, Bavaria, Germany.
Bernhard KusterTechnical University of Munich, Chair of Proteomics and Bioanalytics, 85354 Freising, Bavaria, Germany.
Mathias WilhelmTechnical University of Munich, Computational Mass Spectrometry, 85354 Freising, Bavaria, Germany.ORCID 0000-0002-9224-3258

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ProteomicsDB (https://www.ProteomicsDB.org) is a multi-omics and multi-organism resource for life science research. In this update, we present our efforts to continuously develop and expand ProteomicsDB. The major focus over the last two years was improving the findability, accessibility, interoperability and reusability (FAIR) of the data as well as its implementation. For this purpose, we release a new application programming interface (API) that provides systematic access to essentially all data in ProteomicsDB. Second, we release a new open-source user interface (UI) and show the advantages the scientific community gains from such software. With the new interface, two new visualizations of protein primary, secondary and tertiary structure as well an updated spectrum viewer were added. Furthermore, we integrated ProteomicsDB with our deep-neural-network Prosit that can predict the fragmentation characteristics and retention time of peptides. The result is an automatic processing pipeline that can be used to reevaluate database search engine results stored in ProteomicsDB. In addition, we extended the data content with experiments investigating different human biology as well as a newly supported organism.

Indexed as

Databases, ProteinSoftwareBiological Science DisciplinesHumansNeural Networks, ComputerProteinsProteomicsProteins

Identifiers

PMID34791421
PMCPMC8728203

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.