AODB: A comprehensive database for antioxidants including small molecules, peptides and proteins

Area of Science:

• Biochemistry
• Bioinformatics
• Pharmacology

Background:

• Antioxidants are crucial in food, medicine, nutraceuticals, and cosmetics for human health.
• Existing antioxidant databases have incomplete annotations and inefficient retrieval methods.
• There is a need for a comprehensive and easily searchable antioxidant resource.

Purpose of the Study:

• To develop a manually curated, comprehensive antioxidant database (AODB).
• To provide efficient data retrieval for small molecules, peptides, and proteins with antioxidant activity.
• To facilitate the exploration of antioxidants and their potential applications.

Main Methods:

• Manual curation of antioxidant data.
• Integration of small molecules, peptides, and proteins with antioxidant properties.
• Development of multiple search functionalities including text, chemical structure, and protein sequence search.

Main Results:

• AODB currently stores 56,666 small molecules, 1480 antioxidant peptides, and 998 antioxidant proteins.
• Data includes structures, names, assay records, physicochemical properties, and ADMET properties.
• The database supports text, 2D/3D structure, and BLAST-based protein sequence searches.

Conclusions:

• AODB serves as a one-stop resource for antioxidant research.
• The database enhances the exploration of antioxidants and their applications.
• AODB is publicly accessible and updated annually.