Evidence map›Paper›PMID 36192397›Full record

ArticleNature communications2022

De novo design of immunoglobulin-like domains.

Tamuka M Chidyausiku, Soraia R Mendes, Jason C Klima, Marta Nadal, Ulrich Eckhard, Jorge Roel-Touris, Scott Houliston, Tibisay Guevara, Hugh K Haddox, Adam Moyer and 4 more

Abstract read
In one paragraph

Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Broad-Spectrum Engineered Multivalent Nanobodies Against SARS-CoV-1/2.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  7. Article
  8. P-NADs:Heliyon · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Structure of the human heparan-α-glucosaminidebioRxiv : the preprint server for biology · 2024
    Article
  13. The structural landscape of the immunoglobulin fold by large-scale de novo design.Protein science : a publication of the Protein Society · 2024
    Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. 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

14 authors.

Tamuka M Chidyausiku *Department of Biochemistry, University of Washington, Seattle, WA, 98195, USA.ORCID 0000-0002-2561-782X
Soraia R Mendes *Proteolysis Laboratory, Department of Structural and Molecular Biology, Molecular Biology Institute of Barcelona (IBMB-CSIC), Baldiri Reixac 15, 08028, Barcelona, Spain.ORCID 0000-0002-9605-8500
Jason C KlimaDepartment of Biochemistry, University of Washington, Seattle, WA, 98195, USA.ORCID 0000-0003-0387-7847
Marta NadalProtein Design and Modeling Lab, Department of Structural and Molecular Biology, Molecular Biology Institute of Barcelona (IBMB-CSIC), Baldiri Reixac 15, 08028, Barcelona, Spain.
Ulrich EckhardProteolysis Laboratory, Department of Structural and Molecular Biology, Molecular Biology Institute of Barcelona (IBMB-CSIC), Baldiri Reixac 15, 08028, Barcelona, Spain.ORCID 0000-0001-5863-4514
Jorge Roel-TourisProtein Design and Modeling Lab, Department of Structural and Molecular Biology, Molecular Biology Institute of Barcelona (IBMB-CSIC), Baldiri Reixac 15, 08028, Barcelona, Spain.
Scott HoulistonStructural Genomics Consortium, University of Toronto, Toronto, ON, M5G 1L7, Canada.
Tibisay GuevaraProteolysis Laboratory, Department of Structural and Molecular Biology, Molecular Biology Institute of Barcelona (IBMB-CSIC), Baldiri Reixac 15, 08028, Barcelona, Spain.
Hugh K HaddoxInstitute for Protein Design, University of Washington, Seattle, WA, 98195, USA.
Adam MoyerInstitute for Protein Design, University of Washington, Seattle, WA, 98195, USA.
Cheryl H ArrowsmithStructural Genomics Consortium, University of Toronto, Toronto, ON, M5G 1L7, Canada.ORCID 0000-0002-4971-3250
F Xavier Gomis-RüthProteolysis Laboratory, Department of Structural and Molecular Biology, Molecular Biology Institute of Barcelona (IBMB-CSIC), Baldiri Reixac 15, 08028, Barcelona, Spain. xgrcri@ibmb.csic.es.ORCID 0000-0002-6848-6874
David BakerDepartment of Biochemistry, University of Washington, Seattle, WA, 98195, USA. dabaker@uw.edu.ORCID 0000-0001-7896-6217
Enrique MarcosProtein Design and Modeling Lab, Department of Structural and Molecular Biology, Molecular Biology Institute of Barcelona (IBMB-CSIC), Baldiri Reixac 15, 08028, Barcelona, Spain. embcri@ibmb.csic.es.ORCID 0000-0001-8736-4082

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Antibodies, and antibody derivatives such as nanobodies, contain immunoglobulin-like (Ig) β-sandwich scaffolds which anchor the hypervariable antigen-binding loops and constitute the largest growing class of drugs. Current engineering strategies for this class of compounds rely on naturally existing Ig frameworks, which can be hard to modify and have limitations in manufacturability, designability and range of action. Here, we develop design rules for the central feature of the Ig fold architecture-the non-local cross-β structure connecting the two β-sheets-and use these to design highly stable Ig domains de novo, confirm their structures through X-ray crystallography, and show they can correctly scaffold functional loops. Our approach opens the door to the design of antibody-like scaffolds with tailored structures and superior biophysical properties.

Indexed as

Single-Domain AntibodiesAmino Acid SequenceAntibodiesComplementarity Determining RegionsImmunoglobulin DomainsModels, MolecularProtein ConformationAntibodiesComplementarity Determining RegionsSingle-Domain Antibodies

Identifiers

PMID36192397
PMCPMC9530121

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.