FusionPub, a therapeutic landscape of human fusion genes

Himansu Kumar, Abayomi Adegunlehin, Zikang Chen, Pora Kim

Research output: Contribution to journalArticlepeer-review

Abstract

To advance the development of fusion protein–targeting therapeutics, it is crucial to understand how patients with fusion oncoproteins have been treated and what small molecules have been studied. To fill this gap, we developed FusionPub, a knowledgebase of the therapeutic landscape of human fusion genes. We searched PubMed abstracts for 107K human fusion genes with 14K drugs. We also searched PubMed abstracts for 18K human fusion proteins, considering all gene synonyms of individual partner genes with 14K drugs. After manual curation, we found 17 342 records from 9623 PubMed abstracts. For these fusion genes and drugs, we provide a summary sentence of their relationship using the generative AI, details of the drugs, clinical trial records, common drug records from patient treatment history, etc. FusionPub will be a valuable and unique resource providing knowledge of the development of fusion gene targeting therapeutics.

Original languageEnglish
Article numberbbaf145
JournalBriefings in Bioinformatics
Volume26
Issue number2
DOIs
StatePublished - 1 Mar 2025
Externally publishedYes

Keywords

  • ClinicalTrials.gov
  • drug
  • fusion gene
  • PubMed
  • therapeutics

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