Evidence map›Paper›PMID 40804367›Full record

ArticleBMC bioinformatics2025

FlatProt: 2D visualization eases protein structure comparison.

Tobias Olenyi, Constantin Carl, Tobias Senoner, Ivan Koludarov, Burkhard Rost

Abstract read
In one paragraph

Article in BMC bioinformatics, 2025. 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. Bioinformatics and biology insights · 2026
    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

5 authors.

Tobias OlenyiDepartment of Informatics, Bioinformatics & Computational Biology, School of Computation, Information, and Technology (CIT), TUM (Technical University of Munich), 85748, Garching/Munich, Germany. tobias.olenyi@tum.de.
Constantin CarlDepartment of Informatics, Bioinformatics & Computational Biology, School of Computation, Information, and Technology (CIT), TUM (Technical University of Munich), 85748, Garching/Munich, Germany.
Tobias SenonerDepartment of Informatics, Bioinformatics & Computational Biology, School of Computation, Information, and Technology (CIT), TUM (Technical University of Munich), 85748, Garching/Munich, Germany.
Ivan Koludarov *Department of Informatics, Bioinformatics & Computational Biology, School of Computation, Information, and Technology (CIT), TUM (Technical University of Munich), 85748, Garching/Munich, Germany. ivan.koludarov@tum.de.
Burkhard Rost *Department of Informatics, Bioinformatics & Computational Biology, School of Computation, Information, and Technology (CIT), TUM (Technical University of Munich), 85748, Garching/Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding and comparing three-dimensional (3D) structures of proteins can advance bioinformatics, molecular biology, and drug discovery. While 3D models offer detailed insights, comparing multiple structures simultaneously remains challenging, especially on two-dimensional (2D) displays. Existing 2D visualization tools lack standardized approaches for pipelined inspection of large protein sets, limiting their utility in large-scale pre-filtering.

resultsWe introduce FlatProt, a tool designed to complement 3D viewers by enabling standardized 2D visualization of individual protein structures or large sets thereof. By including Foldseek-based family rotation alignment or an inertia-based fallback, FlatProt creates consistent and scalable visual representations for user-defined protein structures. It supports domain-aware decomposition, family-level overlays, and lightweight visual abstraction of secondary structures. FlatProt processes proteins efficiently, as showcased on a subset of the human-proteome.

conclusionFlatProt provides clear, consistent, user-friendly visualizations that support rapid, comparative inspection of protein structures at scale. By bridging the gap between interactive 3D tools and static visual summaries, it enables users to explore conserved features, detect outliers, and prioritize structures for further analysis. AVAILABILITY: GitHub ( https://github.com/t03i/FlatProt ); Zenodo ( https://doi.org/10.5281/zenodo.15697296 ).

Indexed as

Computational BiologyProteinsSoftwareComputer GraphicsDatabases, ProteinHumansModels, MolecularProtein ConformationUser-Computer InterfaceProteinsBioinformatics toolsProtein structureProtein visualizationSequence comparison

Identifiers

PMID40804367
PMCPMC12344939

What OpenQuestion holds

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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.