sdAb-DB: the single domain antibody database
Abstract
The Single Domain Antibody Database, or sdAb-DB, ( www.sdab-db.ca ) is the first freely available repository for single domain antibodies and related classes of proteins. Due to their small size, modular structure, and ease of expression, single domain antibodies (sdAb) have a wide range of applications, including as a rational design tool, and are therefore of great interest for synthetic biologists and bioengineers. However, to enable effective use and sharing of existing sdAbs, including those with engineered functions ( e.g., fusions with fluorescent proteins), as well as the rational design and engineering of new sdAbs, it is necessary to have access to sequences and experimental data. We have therefore developed a publicly available, sdAb-focused database, providing access to manually curated sdAb data from protein databases, published scientific articles, and user submissions. The sdAb-DB is an open-source repository and sharing platform for the sdAb community, providing access to performance data and basic bioinformatic tools for use with previously described and validated sdAbs, as well as for the engineering of new sdAb-based designs and proteins.
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There are more focused repositories of antibodies, such as CoV-AbDab for anticoronavirus antibodies, and sdAb-DB for single-domain antibodies and related classes of proteins.
“Furthermore, there are more focused repositories of antibodies, such as CoV-AbDab [19] for anticoronavirus antibodies, and sdAb-DB [20] for single-domain antibodies and related classes of proteins.”
From Computational and artificial intelligence-based methods for antibody development (2023) · cites this paper as [20]
Most repositories collect both antibody and nanobody data; however, there are also some databases specializing only in the latter, e.g. sdAb-DB.
“Most of these repositories collect both antibody and nanobody data; however, there are also some databases specializing only in the latter, e.g. sdAb-DB [58].”
From Computational approaches to therapeutic antibody design: established methods and emerging trends (2020) · cites this paper as [58]
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- Authors
- Wilton, E. E., Opyr, M. P., Kailasam, S., Kothe, R. F., & Wieden, H.-J.
- Affiliations
- University of Lethbridge (CA)
- Corresponding author
- Wieden, Hans-Joachim
- Venue
- ACS Synthetic Biology
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-11-16
- Volume
- 7
- Issue
- 11
- Pages
- 2480-2484
- ISSN
- 2161-5063 (ISSN-L)
- OpenAlex
- W2901953282
- Cited by
- 84
- References
- 35
- Citations by year
- 2026: 11 · 2025: 9 · 2024: 15 · 2023: 18 · 2022: 10 · 2021: 14 · 2020: 5 · 2019: 2
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- ACS Synthetic Biology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Alberta Innovates (Strategic Chairs Program, SC60-T2)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Monoclonal and Polyclonal Antibodies Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Biochemical and Structural Characterization
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Keywords
- nanobodies, protein databases, antibody engineering, synthetic biology, fluorescent protein fusion, rational protein design, open-source database
- MeSH terms
- User-Computer Interface, Databases, Protein, Bioengineering, Synthetic Biology, Single-Domain Antibodies
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