Darling (v2.0): Mining disease-related databases for the detection of biomedical entity associations.

ABSTRACT: Darling is a web application that employs literature mining to detect disease-related biomedical entity associations. Darling can detect sentence-based cooccurrences of biomedical entities such as genes, proteins, chemicals, functions, tissues, diseases, environments, and phenotypes from biomedical literature found in six disease-centric databases. In this version, we deploy additional query channels focusing on COVID-19, GWAS studies, cardiovascular, neurodegenerative, and cancer diseases. Compared to its predecessor, users now have extended query options including searches with PubMed identifiers, disease records, entity names, titles, single nucleotide polymorphisms, or the Entrez syntax. Furthermore, after applying named entity recognition, one can retrieve and mine the relevant litera

SUBMITTER: Baltoumas FA 

PROVIDER: S-EPMC12212154 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature