An ontology-based knowledge graph for representing interactions involving RNA molecules.

ABSTRACT: The "RNA world" represents a novel frontier for the study of fundamental biological processes and human diseases and is paving the way for the development of new drugs tailored to each patient's biomolecular characteristics. Although scientific data about coding and non-coding RNA molecules are constantly produced and available from public repositories, they are scattered across different databases and a centralized, uniform, and semantically consistent representation of the "RNA world" is still lacking. We propose RNA-KG, a knowledge graph (KG) encompassing biological knowledge about RNAs gathered from more than 60 public databases, integrating functional relationships with genes, proteins, and chemicals and ontologically grounded biomedical concepts. To develop RNA-KG, we first identifie

SUBMITTER: Cavalleri E 

PROVIDER: S-EPMC11341713 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature