React-to-Me: A Conversational Interface for Interactive Exploration of the Reactome Pathway Knowledgebase.

ABSTRACT: The Reactome Pathway Knowledgebase (www.reactome.org) provides expert-curated information on human biological pathways, molecular interactions, and disease mechanisms. However, its complex data model and keyword-based search interface present accessibility barriers for non-expert users. In contrast, general-purpose conversational AI systems offer intuitive natural language interfaces but lack the domain-specificity, transparent sourcing, and factual reliability required for scientific applications. To address this gap, we developed React-to-Me (https://reactome.org/chat), a domain-specific conversational assistant that enables users to query Reactome using natural language while maintaining scientific rigor and source traceability. React-to-Me integrates hybrid retrieval-augmented generati

SUBMITTER: Mohammadi H 

PROVIDER: S-EPMC12714027 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature