MetaADEDB is an online database we developed to integrate comprehensive information of adverse drug events (ADEs). It provides comprehensive annotations for drug-ADE association including drug structure, drug target, drug dose, ADE annotations and patient information.
MetaADEDB consists of 2,389,131 drug-ADE associations between 10,386 compounds (including more than 3000 drugs) and 23,026 ADEs by integrating more and newer data from U.S. FDA Adverse Event Reporting System (FAERS) and Canada Vigilance Adverse Reaction Online Data-base in addition to the Comparative Toxicogenomics Database (CTD), SIDER and OFFSIDES.
In recent years, Network-Based Inference (NBI) method were proposed in the drug discovery. Based on our comprehensive database (MetaADEDB), we developed a new method named ADENet to predict ADEs for for known drugs and novel compounds outside the known drug-ADE association network. Meanwhile, several predictions were validated by the literature and FDA labels.
October 23, 2013, The paper of MetaADEDB (version 1.0) was published by Journal of Chemical Information and Modeling.
August 1, 2021, The Inference of MetaADEDB (version 2.0) was released and the paper of MetaADEDB was published by Bioinformatics.
January 27, 2021, The Inference of MetaADEDB (version 2.1) was released.