Abstract
Enzymes are the molecular machines of life and play an indispensable role in numerous biotechnological and biomedical applications. Despite the availability of a few enzyme databases, their utility is often hindered by limitations such as infrequent updates, lack of standardization, and inadequate support for machine learning. In this study, we developed the Open Enzyme Database (OED), a community-wide repository and web-based infrastructure designed to facilitate the sharing and exploration of enzyme data. As a user-friendly platform, the first release of the OED provides extensively curated information on enzyme kinetic parameters, structural data, enzymatic reactions, assay conditions, and functional annotations. It also features cutting-edge artificial intelligence (AI) tools for enzyme property prediction, along with cheminformatics-powered algorithms for the identification of promising enzymes. This database should greatly accelerate research and applications in areas such as biocatalysis, systems biology, synthetic biology, and enzyme engineering, as well as AI. The resource is freely available at https://openenzymedb.platform.moleculemaker.org/.