PLAbDab-nano is a self-updating repository containing just under 5000 VHH, VNAR and single-domain antibody sequences derived from patents and academic papers. Each entry contains a link to its primary literature source, where additional information about its functional characteristics can often be found.
PLAbDab-nano has many potential uses including (a) analysing structural models of existing single-domain antibodies to identify modifications that could improve their properties, (b) designing diverse libraries of single-domain antibodies, and (c) annotating query VHH sequences with antigen information from similar entries.
You can search PLAbDab-nano by keyword, sequence, or structure relative to a query single-domain antibody. Precomputed NanoBodyBuilder2 models of each VHH entry in the database facilitate rapid structural searches.
PLAbDab-nano was built by the Oxford Protein Informatics Group (OPIG) under an open-innovation agreement.
For any queries, or to report an issue with this web application, please, email us at "opig[~at~]stats.ox.ac.uk"
Some browsers, such as Safari and Chrome, may attempt to automatically unzip .gz files. If you wish to download the file instead of vieweing it in your browser, you should disable automatic extraction in your browser settings.
PLAbDab-nano can be searched using a keyword or regular expression for keywords contained in the title of the source literature.
If searching for a specific antigen target name, not every synonym will be captured. You can use a regular expression to extend your search coverage, e.g., SARS-CoV-2|COVID-19
Please enter a VHH sequence to find entries with the highest sequence identity in PLAbDab-nano.
Please enter a VNAR sequence to find entries with the highest sequence identity in PLAbDab-nano.
Please enter a VHH sequence to find entries with the most similar CDR structure in PLAbDab-nano.
If a sequence identity cutoff is specified, only results with a CDR sequence identity above this cutoff will be returned.
Header image credit: David Goodsell
