The Patent and Literature Antibody Database (PLAbDab) is a self-updating repository containing over 150,000 paired 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 has many potential uses including (a) annotating query antibody sequences with antigen information from similar entries, (b) analysing structural models of existing antibodies to identify modifications that could improve their properties, and (c) compiling bespoke datasets of antibody sequences/structures known to bind to a specific antigen.
You can search PLAbDab by keyword, by sequence, or -uniquely- by structure relative to a query antibody. Precomputed ABodyBuilder2 models of each entry in the database facilitate rapid structural searches.
NB: For any queries or to report an issue with this web application, please, email us at "opig[~at~]stats.ox.ac.uk"
Similarly, for the PLAbDab Python API you can contact us or open an issue on GitHub with enough details to help us troubleshoot.
NB: If you are downloading any ".csv.gz" files, certain browsers such as Safari and Chrome may attempt to automatically unzip them, leading to corruption. Please disable automatic extraction in your browser settings prior to downloading.
PLAbDab can be searched using regular expressions for keywords contained in the title of the source literature.
NB: If searching for a specific antigen target name, not every synonym name will always be captured. However, you can use a regular expression to extend your search coverage, e.g., "RSV|Respiratory Syncytial Virus" (no quotation marks)
Please enter a query antibody sequence to find entries with the highest sequence identity in PLAbDab.
Please enter a query antibody sequence to find entries with the most similar CDR structure in PLAbDab.
The optional sequence identity cut-off will search concurrently for CDR sequence proximity above a specified threshold.