Nutrients, Vol. 17, Pages 469: A Data-Driven Approach to Enhance the Prediction of Bacteria–Metabolite Interactions in the Human Gut Microbiome Using Enzyme Encodings and Metabolite Structural Embeddings
Nutrients, Vol. 17, Pages 469: A Data-Driven Approach to Enhance the Prediction of Bacteria–Metabolite Interactions in the Human Gut Microbiome Using Enzyme Encodings and Metabolite Structural Embeddings Nutrients doi: 10.3390/nu17030469 Authors: Gopal Srivastava Michal Brylinski Background: The human gut microbiome is critical for host health by facilitating essential metabolic processes. Our study presents a data-driven […]
