Spectral Metabolic Learning: A Machine Intelligence Approach for Predictive Drug Metabolism Analysis
The step of predicting small-molecule drug transformation by hepatic enzymes is still a time-consuming and congested preclinical screening. In this framework, each molecule under consideration is represented as a graph, and the molecular information is represented by graph spectral invariants that are based on its adja...