Evidence map›Paper›PMID 33893235›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

A nanobody toolbox targeting dimeric coiled-coil modules for functionalization of designed protein origami structures.

Andreja Majerle, San Hadži, Jana Aupič, Tadej Satler, Fabio Lapenta, Žiga Strmšek, Jurij Lah, Remy Loris, Roman Jerala

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. AVIDbase: A biologically accurate structural dataset of nanobody-antigen complexes.Protein science : a publication of the Protein Society · 2026
    Article
  2. Article
  3. Article
  4. Crystal Structure ofJournal of the American Chemical Society · 2023
    Article
  5. Article
  6. Review
  7. Article
  8. CreatingRSC advances · 2022
    Review
  9. 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

9 authors at 3 institutions in 2 countries.

Andreja MajerleDepartment of Synthetic Biology and Immunology, National Institute of Chemistry, SI-1000 Ljubljana, Slovenia.ORCID 0000-0001-5884-2217
San HadžiDepartment of Synthetic Biology and Immunology, National Institute of Chemistry, SI-1000 Ljubljana, Slovenia.ORCID 0000-0002-5615-7918
Jana AupičDepartment of Synthetic Biology and Immunology, National Institute of Chemistry, SI-1000 Ljubljana, Slovenia.
Tadej SatlerDepartment of Synthetic Biology and Immunology, National Institute of Chemistry, SI-1000 Ljubljana, Slovenia.ORCID 0000-0003-2780-1572
Fabio LapentaDepartment of Synthetic Biology and Immunology, National Institute of Chemistry, SI-1000 Ljubljana, Slovenia.ORCID 0000-0003-1195-3758
Žiga StrmšekDepartment of Synthetic Biology and Immunology, National Institute of Chemistry, SI-1000 Ljubljana, Slovenia.ORCID 0000-0001-9226-3497
Jurij LahDepartment of Physical Chemistry, Faculty of Chemistry and Chemical Technology, University of Ljubljana, SI-1000 Ljubljana, Slovenia.
Remy LorisVlaams Instituut voor Biotechnologie, Vrije Universiteit Brussel Center for Structural Biology, Vrije University Brussels, B-1050 Brussels, Belgium.
Roman JeralaDepartment of Synthetic Biology and Immunology, National Institute of Chemistry, SI-1000 Ljubljana, Slovenia; roman.jerala@ki.si.
National Institute of Chemistry · SIUniversity of Ljubljana · SIVrije Universiteit Brussel · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coiled-coil (CC) dimers are widely used in protein design because of their modularity and well-understood sequence-structure relationship. In CC protein origami design, a polypeptide chain is assembled from a defined sequence of CC building segments that determine the self-assembly of protein cages into polyhedral shapes, such as the tetrahedron, triangular prism, or four-sided pyramid. However, a targeted functionalization of the CC modules could significantly expand the versatility of protein origami scaffolds. Here, we describe a panel of single-chain camelid antibodies (nanobodies) directed against different CC modules of a de novo designed protein origami tetrahedron. We show that these nanobodies are able to recognize the same CC modules in different polyhedral contexts, such as isolated CC dimers, tetrahedra, triangular prisms, or trigonal bipyramids, thereby extending the ability to functionalize polyhedra with nanobodies in a desired stoichiometry. Crystal structures of five nanobody-CC complexes in combination with small-angle X-ray scattering show binding interactions between nanobodies and CC dimers forming the edges of a tetrahedron with the nanobody entering the tetrahedral cavity. Furthermore, we identified a pair of allosteric nanobodies in which the binding to the distant epitopes on the antiparallel homodimeric APH CC is coupled via a strong positive cooperativity. A toolbox of well-characterized nanobodies specific for CC modules provides a unique tool to target defined sites in the designed protein structures, thus opening numerous opportunities for the functionalization of CC protein origami polyhedra or CC-based bionanomaterials.

Indexed as

DimerizationModels, MolecularPeptidesPolymersProtein Conformation, alpha-HelicalProtein DomainsProtein EngineeringProtein FoldingProtein MultimerizationProteinsSingle-Domain AntibodiesPeptidesPolymersProteinsSingle-Domain Antibodiescoiled-coil dimercoiled-coil protein origaminanobodyprotein assemblyprotein design

Identifiers

PMID33893235
PMCPMC8092592
OpenAlexW3133945223

What OpenQuestion holds

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LicenceCC BY
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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.