A Computational Text Mining-Guided Meta-Analysis Approach to Identify Potential Xerostomia Drug Targets.

ABSTRACT: Xerostomia (subjective complaint of dry mouth) is commonly associated with salivary gland hypofunction. Molecular mechanisms associated with xerostomia pathobiology are poorly understood, thus hampering drug development. Our objectives were to (i) use text-mining tools to investigate xerostomia and dry mouth concepts, (ii) identify associated molecular interactions involving genes as candidate drug targets, and (iii) determine how drugs currently used in clinical trials may impact these genes and associated pathways. PubMed and PubMed Central were used to identify search terms associated with xerostomia and/or dry mouth. Search terms were queried in pubmed2ensembl. Protein-protein interaction (PPI) networks were determined using the gene/protein network visualization program search tool fo

SUBMITTER: Beckman MF 

PROVIDER: S-EPMC8911392 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature