Matti Hoch

The paper describes the development and evaluation of an agentic framework using LLMs to explore molecular interaction maps through user-driven prototyping and testing.

The paper constructs a knowledge base of molecular interactions linking gastrointestinal diseases, malnutrition, and sarcopenia and provides an interactive tool for in silico analysis.

The paper develops a MINERVA plugin suite for integrating multi-omics data and performing in silico perturbation experiments on disease maps using RNA-seq datasets from the Atlas of Inflammation Resolution.

The paper describes the development of a computational knowledge repository, the COVID-19 Disease Map, which curates SARS-CoV-2 virus-host interaction mechanisms and provides tools for their analysis and application.