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AntigenApp: a laboratory data management system for nanobody generation and sequence analysis

Abstract:
Motivation: Nanobodies are single domain antibodies derived from the unique heavy chain-only immunoglobulins of the camelid family, and have broad applications in biosciences, including as imaging and diagnostic agents. The generation of nanobodies is a multi-stage experimental process for which we have developed AntigenApp a laboratory data management system for nanobody generation and sequence analysis. Results: AntigenApp is a web application and database built to capture data generated during all steps of the nanobody discovery pipeline and to provide built-in analysis capabilities of the experimental results. This includes enzyme-linked immunosorbent assay optical density measurements, sequencing results, nanobody domain labelling, and search/clustering capabilities using protein BLAST. The tool incorporates a standardized naming convention that is automatically applied to nanobodies stored in the database and we envisage the tool being of interest to the wider nanobody community for in-house use. Availability and implementation: AntigenApp is available from https://github.com/rosalindfranklininstitute/antigen-app under the Apache 2.0 licence and published https://doi.org/10.5281/zenodo.17397055.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1093/bioinformatics/btaf642

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Role:
Author
ORCID:
0000-0002-6950-8908


Publisher:
Oxford University Press
Journal:
Bioinformatics More from this journal
Volume:
41
Issue:
12
Pages:
btaf642
Article number:
btaf642
Publication date:
2025-12-01
Acceptance date:
2025-11-20
DOI:
EISSN:
1367-4811
ISSN:
1367-4803


Language:
English
Pubs id:
2341806
UUID:
uuid_2ac54268-546d-445d-aa86-9d22ebc1879a
Local pid:
pubs:2341806
Source identifiers:
3563549
Deposit date:
2025-12-14
ARK identifier:
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.

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