OpenAntigens: a structure-aware database for antigen construct design across the human cell-surface and secreted proteome

Choosing which region of a protein to express remains poorly standardized in antibody discovery, recombinant reagent generation, structural biology, and computational binder design. For human cell-surface and secreted proteins, this requires reconciling topology, processing, predicted, and experimental structure, modifications, interaction partners, orthologs, paralogs, and cross-reactivity risk before ordering DNA. OpenAntigens is a free, no-login database of construct-design reports for 5328 human secreted, GPI-anchored, single-pass, and multipass proteins. It integrates UniProt topology, AlphaFold pLDDT and PAE, PDB precedent, InterPro and Pfam domains, mouse and cynomolgus orthologs, paralog and family context, Open Targets disease associations, partner and assembly context, and BLAST searches. It provides 55 305 construct suggestions spanning full design regions, PDB-backed boundaries, annotated domains, pLDDT/PAE-derived regions, and membrane-expression options, plus 148 722 sequence-similarity hits to help choose constructs and assess cross-reactivity. For targets with compatible AlphaFold models, the interactive designer links sequence, structure, pLDDT, and PAE, allowing users to revise boundaries and export species-equivalent sequences with real-time cysteine and modification warnings. OpenAntigens places reproducible construct suggestions, comparative context, and browser editing in one workflow, reducing manual reconciliation across resources. OpenAntigens is available at openantigens.org.

Authors

Institutions

Publication Details

Journal
Nucleic Acids Research
Published
2026-10-29
DOI
https://doi.org/10.1093/nar/gkag1051
Primary Topic
vaccines and immunoinformatics approaches
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

OpenAntigens: a structure-aware database for antigen construct design across the human cell-surface and secreted proteome

Andre A. R. Teixeira, Deepash Kothiwal, Haisun Zhu, Allan A. Mills et al.
Nucleic Acids Research
vaccines and immunoinformatics approaches
article

OpenAntigens: a structure-aware database for antigen construct design across the human cell-surface and secreted proteome

Andre A. R. Teixeira, Deepash Kothiwal, Haisun Zhu, Allan A. Mills, Ruili Cao
article en

Abstract

Choosing which region of a protein to express remains poorly standardized in antibody discovery, recombinant reagent generation, structural biology, and computational binder design. For human cell-surface and secreted proteins, this requires reconciling topology, processing, predicted, and experimental structure, modifications, interaction partners, orthologs, paralogs, and cross-reactivity risk before ordering DNA. OpenAntigens is a free, no-login database of construct-design reports for 5328 human secreted, GPI-anchored, single-pass, and multipass proteins. It integrates UniProt topology, AlphaFold pLDDT and PAE, PDB precedent, InterPro and Pfam domains, mouse and cynomolgus orthologs, paralog and family context, Open Targets disease associations, partner and assembly context, and BLAST searches. It provides 55 305 construct suggestions spanning full design regions, PDB-backed boundaries, annotated domains, pLDDT/PAE-derived regions, and membrane-expression options, plus 148 722 sequence-similarity hits to help choose constructs and assess cross-reactivity. For targets with compatible AlphaFold models, the interactive designer links sequence, structure, pLDDT, and PAE, allowing users to revise boundaries and export species-equivalent sequences with real-time cysteine and modification warnings. OpenAntigens places reproducible construct suggestions, comparative context, and browser editing in one workflow, reducing manual reconciliation across resources. OpenAntigens is available at openantigens.org.

Nucleic Acids Research
Institute for Protein Innovation (US)
Openalex Percentile: Top 51%
vaccines and immunoinformatics approaches
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon