DOTAD is a curated antibody developability database that integrates antibody metadata, sequence information, experimental developability annotations, literature-curated developability data, and supplementary benchmarking resources. It is designed to support data exploration, resource download, benchmarking, and computational method development in antibody research.

DOTAD currently provides several major categories of data, including antibody metadata, sequence information, experimental developability datasets, literature-curated developability collections, and supplementary benchmark resources. These data are organized to support both direct browsing on the website and downstream reuse through the Download page.

Users can search DOTAD entries through keyword-based queries on the Dataset page. DOTAD supports approximate and flexible matching for antibody identifiers, antibody names, targets, and related keywords, making it easier to locate relevant entries even when the exact query format is not known in advance.

DOTAD provides curated downloadable resources through the Download page. Available files may include metadata tables, sequence datasets, experimental developability datasets, literature-curated developability collections, benchmark resources, and supporting documentation such as the data dictionary. Users can select the files most relevant to their needs for local analysis and reuse.

Developability annotations in DOTAD describe experimentally measured or literature-reported properties relevant to antibody optimization and developability assessment. Depending on the dataset, these annotations may reflect stability, hydrophobicity, self-association, colloidal behavior, monomer content, expression-related properties, polyspecificity, or related developability-associated characteristics. Because different assays may have different scales, units, and interpretation directions, users are encouraged to consult the DOTAD data dictionary when interpreting specific metrics.

Experimental datasets in DOTAD contain structured measurements derived from curated assay records and processed experimental data tables. Literature-curated datasets compile developability-related values and annotations from published studies and associated public sources. In general, experimental datasets emphasize directly organized assay data within DOTAD, while literature-curated datasets extend coverage by integrating reported values from the broader literature.

The Network page is designed to help users explore relationships between antibodies based on DOTAD-supported data. Depending on the current implementation, the page may highlight similarity patterns or relatedness inferred from antibody-associated developability profiles and linked annotations. It is intended as an exploratory interface for identifying potentially related antibodies and examining their local relationships within the DOTAD resource.

Yes. DOTAD is intended to support not only browsing and data exploration, but also downstream reuse in benchmarking, data analysis, and computational model development. Users may use downloadable datasets and supplementary benchmark resources according to the database scope and accompanying documentation. For reproducible use, users should refer to the corresponding release files and data dictionary.

If you use DOTAD data, downloadable resources, or derived analyses in your work, please cite the DOTAD publication and acknowledge the database appropriately. Citation details will be updated and maintained as the DOTAD resource continues to develop. Users are also encouraged to cite the original referenced studies when using literature-curated data derived from external publications.

DOTAD is maintained through periodic updates as newly curated entries, additional annotations, revised downloadable resources, and related improvements become available. Update frequency may vary depending on data curation progress and resource development.

If you identify a potential error, inconsistency, or missing annotation in DOTAD, please contact the DOTAD team using the information provided below. User feedback is valuable for improving data quality, resolving discrepancies, and refining future releases of the database.

For data-related questions, technical feedback, or academic collaboration inquiries, please contact the DOTAD team using the contact information listed below. We welcome communication regarding data curation, antibody developability analysis, benchmarking, and related collaborative opportunities.