In one paragraphArticle in Science advances, 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
–field-weighted citation impact
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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
15 authors.
Max D OverathDepartment of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID 0009-0009-6347-9809 Suthimon ThumtechoDepartment of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID 0000-0002-8853-6568 Esperanza Rivera-de-TorreDepartment of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID 0000-0002-0272-6150 Melisa Benard-ValleDepartment of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID 0000-0002-0042-6592 Darian S WolffDepartment of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID 0000-0002-9266-3017 Rahmat GrahadiDepartment of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID 0000-0003-1904-1163 Kasper H BjörnssonDepartment of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID 0000-0003-1339-8620 Andreas S H RygaardDepartment of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark.
Nils HofmannDepartment of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID 0009-0006-4639-6161 Jann LedergerberDepartment of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID 0009-0004-9774-095X Anne LjungarsDepartment of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID 0000-0002-2158-0601 Andreas H LaustsenDepartment of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID 0000-0001-6918-5574 Simon OlssonDepartment of Computer Science and Engineering, Chalmers University of Technology and University of Gothenburg, Gothenburg, Sweden.ORCID 0000-0002-3927-7897 Timothy P JenkinsDepartment of Biotechnology and Biomedicine, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID 0000-0003-2979-5663 Funding
Wellcome Trust
6 · The paper itselfAbstract
Finding therapeutic antibodies that bind multiple related targets with high affinity and favorable biophysical properties remains challenging and resource-intensive. For snakebite antivenoms, this challenge is critical as treatments must neutralize toxins across multiple snake species. We developed a pipeline combining high-throughput yeast screening, deep sequencing, and AlphaFold3 structure prediction to identify polyspecific variable domains of heavy chain-only antibodies (V
Indexed as
High-Throughput Screening AssaysImmunoglobulin Heavy ChainsAnimalsModels, MolecularProtein BindingImmunoglobulin Heavy Chains
Identifiers
PMID42814808
PMCPMC13626040
What OpenQuestion holds
Textmetadata
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