Monday 29 April 2024 |
Events for day: Thursday 27 December 2018 |
10:00 - 11:00 Weekly Seminar NDD: A novel method for predicting drug-drug interaction by deep neural network School BIOLOGICAL SCIENCES Drug-drug interaction (DDI) prediction is one of the most critical issues in drug development and health. Accurate knowledge of real interactions between drugs could not only help reduce the adverse drug conflicts but also enhance human health and accelerate disease treatment. Beyond 300,000 papers have been published to address this issue. Nevertheless, many DDIs are not known yet. Thus, efficient methods that bring hidden interactions to light are valuable. In the last decade, many computational methods have been developed to address this issue and overcome these limitations. Some methods are based on the structural similarity of drug molec ... |