Veronica Shamovsky

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.

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 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.