Multidimensional Antiviral Antibody Database (MAAD) is a comprehensive and standardized knowledgebase designed to accelerate therapeutic antibody development and support data-driven antibody design. Focusing on high-impact RNA viruses from three major families，Coronaviridae (SARS-CoV-1, SARS-CoV-2, MERS-CoV), Orthomyxoviridae (influenza virus), and Pneumoviridae (RSV, hMPV)，MAAD integrates multidimensional data spanning antibody sequence, structure, and function. By unifying these diverse data types into a consistent and searchable format, MAAD enables systematic exploration of sequence–structure–function relationships and supports a wide range of applications in computational immunology, antibody engineering, vaccine development, and infectious disease research.
Explore antibody CDR diversity and V/J gene usage, or submit full-length amino acid/nucleotide sequences for automated gene assignment, CDR annotation, and mutational landscape visualization
MAAD provides 1,394 antigen–antibody complex structures with detailed interface annotations, including entropy scores and mutation frequencies
MAAD integrates sequence-based clustering and phylogenetic reconstruction pipeline to group antibodies
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