Marija Orlic-Milacic

React-to-Me, a retrieval-augmented chatbot grounding GPT-4o-mini in curated Reactome pathways with hyperlinked citations, earned higher blinded expert ratings than ungrounded GPT-4o-mini (odds ratio 2.01).

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

This paper explores using ChatGPT in Reactome curation to automate pathway annotation, comparing its outputs to manual curation and identifying challenges and improvements.

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

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.