<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>26(1)</volume><submitter>Liang X</submitter><funding>National Natural Science Foundation of China</funding><funding>Stable Support Plan Program of Shenzhen Natural Science Fund</funding><journal>BMC bioinformatics</journal><pagination>203</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12317455</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Literature data-based de novo candidates for drug repurposing.</pubmed_title><pmcid>PMC12317455</pmcid><funding_grant_id>No. 62006109</funding_grant_id><funding_grant_id>20220814165010001</funding_grant_id><pubmed_authors>Liang X</pubmed_authors><pubmed_authors>Jiang X</pubmed_authors><pubmed_authors>Ma Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>Literature data-based de novo candidates for drug repurposing.</name><description/><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Aug</publication><modification>2026-03-15T22:32:15.167Z</modification><creation>2025-08-13T03:06:42.075Z</creation></dates><accession>S-EPMC12317455</accession><cross_references><pubmed>40750838</pubmed><doi>10.1186/s12859-025-06237-7</doi></cross_references></HashMap>