DOTAD: A Database of Therapeutic Antibody Developability

Li, Wenzhen; Lin, Hongyan; Huang, Ziru; Xie, Shiyang; Zhou, Yuwei; Gong, Rong; Jiang, Qianhu; Xiang, ChangCheng; Huang, Jian

doi:10.1007/s12539-024-00613-2

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Cited by 3 publications

References 97 publications

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AbNumPro: A comprehensive offline toolkit for antibody numbering and antigen-binding region prediction

Li,

Lin,

Peng

et al. 2024

Software Impacts

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AbNumPro: A comprehensive offline toolkit for antibody numbering and antigen-binding region prediction

Li,

Lin,

Peng

et al. 2024

Software Impacts

View full text Add to dashboard Cite

Ab-Amy 2.0: Predicting light chain amyloidogenic risk of therapeutic antibodies based on antibody language model

Zhou,

Liu,

Luo

et al. 2025

Methods

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AACDB: Antigen-Antibody Complex Database — a Comprehensive Database Unlocking Insights into Interaction Interface

Zhou,

Liu,

Huang

et al. 2024

Preprint

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Antibodies play a crucial role in the vertebrate immune system and have diverse biomedical applications. Understanding the intricate interactions between antibodies and antigens is an important step in drug development. However, the complex and vast nature of the data presents significant challenges in accurately identifying and comprehending these interactions. To address these challenges and enhance our understanding of the antibody-antigen interface, the Antigen-Antibody Complex Database (AACDB) has been established. The current version provides a comprehensive collection of 7,498 manually processed antigen-antibody complexes, ensuring accuracy and detail. This database not only provides rich metadata but also corrects annotation errors observed in the PDB database. Furthermore, it integrates data on antibody developability and antigen-drug target relationships, making it valuable for assisting new antibody therapies development. Notably, the database includes comprehensive paratope and epitope annotation information, thereby serving as a valuable benchmark for immunoinformatics research. The AACDB interface is designed to be user-friendly, providing researchers with powerful search and visualization tools that enable effortless querying, manipulation, and visualization of complex data. Researchers can access AACDB completely online at http://i.uestc.edu.cn/AACDB. Regular updates are promised to ensure the timely provision of scientific and valuable information.

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DOTAD: A Database of Therapeutic Antibody Developability

Cited by 3 publications

References 97 publications

AbNumPro: A comprehensive offline toolkit for antibody numbering and antigen-binding region prediction

AbNumPro: A comprehensive offline toolkit for antibody numbering and antigen-binding region prediction

Ab-Amy 2.0: Predicting light chain amyloidogenic risk of therapeutic antibodies based on antibody language model

AACDB: Antigen-Antibody Complex Database — a Comprehensive Database Unlocking Insights into Interaction Interface

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