NIH Reporter #1F31DK145063-01

Network Modeling of Dietary Effect on Host and Microbial Metabolism

Award for developing computational tools to model dietary effects on host and microbial metabolism, integrating multi-omics data to understand diet-microbe-host interactions and disease mechanisms.

Description

This project focuses on understanding how dietary compounds interact with gut microbes and the host to influence health outcomes. By developing computational tools that integrate genomic, microbiome, metabolomic, and dietary data, the research aims to identify key enzyme-metabolite relationships driving host-microbe co-metabolism. The work will systematically connect diet-originating compounds with microbial and host enzymes using a networks-based framework, leveraging databases such as KEGG and FooDB. The ultimate goal is to develop a scalable, queryable framework to analyze diet-microbe-host interactions at the compound-enzyme level, advancing understanding of diet-related disease mechanisms and guiding future research and therapeutic development.

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