Marc E. Gillespie

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

This paper applies large language models to assist in gene annotation into Reactome pathways, showing promising results in supporting curation workflows.

The paper annotates disease variants in the context of biological pathways to infer molecular phenotypes and model variant impacts.

The paper presents a computational framework for analyzing SARS-CoV-2-host interactions to identify drug targets and model disease mechanisms.