Evidence map›Paper›PMID 40108246›Full record

ArticleScientific reports2025

Rigid enlargement of sybodies with antibody fragments for cryo-EM analyses of small membrane proteins.

Fabian Ackle, Sujani Thavarasah, Jennifer C Earp, Markus A Seeger

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

4 authors.

Fabian AckleInstitute of Medical Microbiology, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-7199-5004
Sujani ThavarasahInstitute of Medical Microbiology, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-3957-2298
Jennifer C EarpInstitute of Medical Microbiology, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0003-3944-4533
Markus A SeegerInstitute of Medical Microbiology, University of Zurich, Zurich, Switzerland. m.seeger@imm.uzh.ch.ORCID http://orcid.org/0000-0003-1761-8571

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 310030_215138
6 · The paper itself

Abstract

Single particle cryo-electron microscopy (cryo-EM) has become the method of choice to determine experimental structures of integral membrane proteins. However, high-resolution structure determination by cryo-EM remains a challenge for membrane proteins that are too small or lack distinctive structural elements for particle alignment. To address this problem, single-domain antibodies called nanobodies and their synthetic variants called sybodies are widely used tools to trap membrane transporters in defined conformations, to enlarge particle sizes and to act as fiducial markers enabling reliable particle alignment. Recently, antibody fragments (Fabs) enlarging nanobodies at their backside in a rigid fashion, called Legobody and NabFab, have been developed. Here, we investigated how Legobodies and NabFabs can be harmonized with sybodies. We show that any sybody can be adapted to the Legobody approach with minimal effort, while only a subset of sybodies belonging to the loop library can be converted into a format recognized by the NabFab without complementarity-determining region-grafting. This technical note will facilitate the usage of Legobodies and NabFabs in the context of sybodies targeting membrane proteins and other small proteins for high-resolution structure determination by cryo-EM.

Indexed as

Cryoelectron MicroscopyMembrane ProteinsSingle-Domain AntibodiesModels, MolecularMembrane ProteinsSingle-Domain AntibodiesCryo-EMFabFiducial markerNanobodyParticle alignmentSize enlargementSybody

Identifiers

PMID40108246
PMCPMC11923154

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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.