DOTAD: A Database of Therapeutic Antibody Developability

Area of Science:

• Biotechnology
• Drug Discovery
• Computational Biology

Background:

• Assessing therapeutic antibody developability is vital for drug discovery but experimentally challenging.
• Computational methods offer an efficient alternative but require extensive data for model training and validation.
• A scarcity of accessible antibody developability data hinders the advancement of computational approaches.

Purpose of the Study:

• To establish the first dedicated database for therapeutic antibody developability information.
• To provide a centralized repository for antibody sequence data and developability metrics.
• To facilitate the training and validation of computational models for antibody developability assessment.

Main Methods:

• Curating therapeutic antibody sequence data from scientific literature.
• Aggregating various developability metrics alongside sequence data.
• Developing a web-based interface with integrated analytical tools.

Main Results:

• The creation of DOTAD, the first database exclusively for therapeutic antibody developability.
• Aggregation of comprehensive antibody sequence data and developability metrics.
• Integration of advanced computational tools for data analysis and interpretation.

Conclusions:

• DOTAD addresses the critical data gap in therapeutic antibody developability research.
• The database serves as a valuable, freely accessible resource for the scientific community.
• DOTAD supports the advancement of computational methods in antibody development and drug discovery.