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While traditional antibody discovery has relied heavily on high-throughput screening, the field is now shifting toward rational antibody design, which requires integrative insights into sequence\u2013structure\u2013function relationships. However, existing resources provide a valuable foundation but remain limited in scope, highlighting the need for a standardized and well-annotated antibody database that integrates multidimensional features to further support systematic exploration, cross-pathogen comparison, and rational antibody design. Here, we introduce the Multidimensional Antiviral Antibody Database (MAAD; raabmd.org\/raab\/index), a curated platform dedicated to antibody, nanobody and single-chain variable fragment targeting three high-impact RNA virus families, Coronaviridae (SARS-CoV-1, SARS-CoV-2, MERS-CoV), Orthomyxoviridae (influenza virus), and Pneumoviridae (respiratory syncytial virus, human metapneumovirus), which were selected due to the large, high-quality datasets accumulated in recent years. MAAD further incorporates a suite of interactive analysis modules, including CDR and germline annotation, similarity-based sequence analysis, sequence-based clustering and structure-guided identification of antigen\u2013antibody interface residues, complemented by per-site entropy and mutation rate profiling. These features enable in-depth exploration of antibody sequence characteristics, thereby facilitating functional and structural insights for rational antibody design. Together, by bridging antibody sequence, structure, and function, MAAD offers an open and standardized platform that advances comparative antiviral research and supports therapeutic antibody discovery.<\/jats:p>","DOI":"10.1093\/procel\/pwaf106","type":"journal-article","created":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T12:57:57Z","timestamp":1764939477000},"page":"560-572","source":"Crossref","is-referenced-by-count":3,"title":["MAAD: multidimensional antiviral antibody database"],"prefix":"10.1093","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-1063-3377","authenticated-orcid":false,"given":"Yixin","family":"Li","sequence":"first","affiliation":[{"name":"State Key Laboratory of Biomacromolecules, Institute of Biophysics, Chinese Academy of Sciences , Beijing 100101,","place":["China"]},{"name":"University of Chinese Academy of Sciences , Beijing 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