Evidence map›Paper›PMID 37975681›Full record

ArticlemSystems2023

Deciphering the antigen specificities of antibodies by clustering their complementarity determining region sequences.

Dianita S Saputri, Hendra S Ismanto, Dendi K Nugraha, Zichang Xu, Yasuhiko Horiguchi, Shuhei Sakakibara, Daron M Standley

Abstract read
In one paragraph

Article in mSystems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

7 authors.

Dianita S SaputriDepartment of Genome Informatics, Research Institute for Microbial Diseases, Osaka University, Suita, Japan.ORCID 0000-0002-5538-0499
Hendra S IsmantoDepartment of Genome Informatics, Research Institute for Microbial Diseases, Osaka University, Suita, Japan.
Dendi K NugrahaDepartment of Molecular Bacteriology, Research Institute for Microbial Diseases, Osaka University, Suita, Japan.ORCID 0000-0002-6995-5695
Zichang XuImmunology Frontier Research Center, Osaka University, Suita, Japan.
Yasuhiko HoriguchiGraduate School of Medicine, Osaka University, Suita, Japan.ORCID 0000-0002-1592-5861
Shuhei SakakibaraImmunology Frontier Research Center, Osaka University, Suita, Japan.
Daron M StandleyDepartment of Genome Informatics, Research Institute for Microbial Diseases, Osaka University, Suita, Japan.

Funding

BIKEN Foundation (BIKEN) Taniguchi ScholarshipJapan Agency for Medical Research and Development (AMED) JP21am0101108
6 · The paper itself

Abstract

importanceDetermining antigen and epitope specificity is an essential step in the discovery of therapeutic antibodies as well as in the analysis adaptive immune responses to disease or vaccination. Despite extensive efforts, deciphering antigen specificity solely from BCR amino acid sequence remains a challenging task, requiring a combination of experimental and computational approaches. Here, we describe and experimentally validate a simple and straightforward approach for grouping antibodies that share antigen and epitope specificities based on their CDR sequence similarity. This approach allows us to identify the specificities of a large number of antibodies whose antigen targets are unknown, using a small fraction of antibodies with well-annotated binding specificities.

Indexed as

AntibodiesComplementarity Determining RegionsAntigensCluster AnalysisEpitopesImmunityAntibodiesAntigensComplementarity Determining RegionsEpitopesantibodyantigen-specificB cell receptorclusteringdiphtheriapertussisrepertoireSARS-CoV-2single-cell immune profiletetanus

Identifiers

PMID37975681
PMCPMC10734444

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.