Giulia Menichetti

The paper quantifies variation in gut microbial metabolism of dietary compounds and identifies compounds specific to few species, proposing a method for synbiotic design.

NetMedPy provides a computational package for efficient Network Medicine analyses, supporting diverse scoring functions and metrics for large-scale molecular screening.

The paper analyzes eight connectomes and finds their degree distributions follow lognormal patterns, attributing this to a stochastic multiplicative process governing neuron size.

CPIExtract collects and harmonizes compound-protein interaction data from multiple sources, providing more annotations than DrugBank and enabling downstream analyses.

The paper identifies nutritional redundancy in dietary intake and shows its association with lower risks of cardiovascular disease and type 2 diabetes after adjusting for age.

The paper uses genome-associated functional annotations and metabolomics to predict and validate chemical compounds in edible plants, identifying novel compounds in corn.

FoodMine identifies scientific papers on garlic and cocoa chemical composition, finds extensive unstructured data on food chemicals, and creates embeddings showing health relevance.

The paper identifies three tumor-specific gene signatures through network analysis of multi-tumor omics data and validates them with in vitro experiments to suggest novel drug targets and combinations.