Evidence map›Paper›PMID 41592050›Full record

ArticlePloS one2026

Exploration of a workflow for the classification and identification of co-purified protein complexes yields new structures and multiple MSP assembly states.

Qingyang Zhang, Abhinandan Venkatesha Murthy, Carsten Mim

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Qingyang ZhangDepartment of Protein Science, Kungliga Tekniska Högskolan (KTH)Stockholm, Sweden.
Abhinandan Venkatesha MurthyInstitute of Biotechnology, University of Helsinki, Helsinki, Finland.
Carsten MimDepartment of Protein Science, Kungliga Tekniska Högskolan (KTH)Stockholm, Sweden.ORCID https://orcid.org/0000-0001-6402-8270

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Native protein complexes have garnered interest as targets for structural dissemination. Cryogenic electron microscopy (cryo-EM) with its ability to image protein mixtures is the most promising tool to enable structural proteomics. Additionally, image processing has evolved and can deal with conformational and compositional heterogeneity. Integrative approaches, namely mass spectrometry in conjunction with cryo-EM, have made it possible to characterize and identify complex mixtures. However, this comes at a cost of generating models and interpreting mass spectra. Here we present a modified approach that builds on publicly available software. By generating maps around 4 Å and unsupervised model building we were able to identify the most abundant proteins in our sample. This sample consisted of co-purified membrane proteins in nanodiscs. We found a novel structure and unexpected nanodisc assemblies. Our maps imply a direct interaction between membrane proteins and membrane scaffolding proteins.

Indexed as

Membrane ProteinsMultiprotein ComplexesProteomicsChromatography, GelCryoelectron MicroscopyMass SpectrometryModels, MolecularNanostructuresProtein MultimerizationSingle Molecule ImagingSoftwareUnsupervised Machine LearningWorkflowMembrane ProteinsMultiprotein Complexes

Identifiers

PMID41592050
PMCPMC12843557

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.