ArticleProtein science : a publication of the Protein Society2022
Observed Antibody Space: A diverse database of cleaned, annotated, and translated unpaired and paired antibody sequences.
Article in Protein science : a publication of the Protein Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 194 papers.
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Who cites it
194 citing papers in PubMed.
- Precise targeting of HIV broadly neutralizing antibody precursors in humans.Science (New York, N.Y.) · 2025Trial
- Vaccination with mRNA-encoded nanoparticles drives early maturation of HIV bnAb precursors in humans.Science (New York, N.Y.) · 2025Trial
- Vaccination induces HIV broadly neutralizing antibody precursors in humans.Science (New York, N.Y.) · 2022Trial
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- Computational design and translational development of TCR-mimic scFv antibodies for peptide-HLA neoantigen targeting.npj drug discovery · 2026Review
- Beyond affinity: AI-supported developability assessment and multi-objective optimization in antibody development.Antibody therapeutics · 2026Review
- Structural T-Cell Receptor Analysis in the Age of Machine Learning.Immunological reviews · 2026Review
- IMGT-NC Engineered Variants of INN Therapeutic IG or Antibodies and Related IgSF Proteins (TR, FPIA and CPCA): Bridging Sequences, Structures and Functions for AI.Biomolecules · 2026Review
- A blinded, prospective benchmark of in silico antibody discovery anchored to experimental affinity and developability.Nature biotechnology · 2026Article
- Multi-objective antibody design and optimization using machine learning.Nature reviews bioengineering · 2026Article
- Pocket restraints guided by B-cell epitope prediction improve Chai-1 antibody-antigen structure modeling.Protein science : a publication of the Protein Society · 2026Article
- CLDN18.2 antibody design with protein language models: A deep learning optimization framework.PLoS computational biology · 2026Article
- H3BERTa: A CDR-H3-specific language model for antibody repertoire analysis.Patterns (New York, N.Y.) · 2026Article
- Language Model Embedding Classifiers Enable Identification of Multiple Sclerosis-Associated BCRs and Repertoires.bioRxiv : the preprint server for biology · 2026Article
- Generative AI for controllable protein sequence design: A survey.npj drug discovery · 2026Review
134 more citing papers are in PubMed but not listed here.
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
The antibody repertoires of individuals and groups have been used to explore disease states, understand vaccine responses, and drive therapeutic development. The arrival of B-cell receptor repertoire sequencing has enabled researchers to get a snapshot of these antibody repertoires, and as more data are generated, increasingly in-depth studies are possible. However, most publicly available data only exist as raw FASTQ files, making the data hard to access, process, and compare. The Observed Antibody Space (OAS) database was created in 2018 to offer clean, annotated, and translated repertoire data. In this paper, we describe an update to OAS that has been driven by the increasing volume of data and the appearance of paired (VH/VL) sequence data. OAS is now accessible via a new web server, with standardized search parameters and a new sequence-based search option. The new database provides both nucleotides and amino acids for every sequence, with additional sequence annotations to make the data Minimal Information about Adaptive Immune Receptor Repertoire compliant, and comments on potential problems with the sequence. OAS now contains 25 new studies, including severe acute respiratory syndrome coronavirus 2 data and paired sequencing data. The new database is accessible at http://opig.stats.ox.ac.uk/webapps/oas/, and all data are freely available for download.
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Registered trials
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.