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Updated: Apr 5, 2026

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
Published on: December 11, 2016
Text Mining and Data Modeling of Karyotypes to aid in Drug Repurposing Efforts
Zachary B Abrams1, Andrea L Peabody1, Nyla A Heerema2
1Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, Ohio, USA.
Abstract:
Karyotyping, or visually examining and recording chromosomal abnormalities, is commonly used to diagnose and treat disease. Karyotypes are written in the International System for Human Cytogenetic Nomenclature (ISCN), a computationally non-readable language that precludes full analysis of these genomic data. In response, we developed a cytogenetic platform that transfers the ISCN karyotypes to a machine-readable model available for computational analysis. Here we use cytogenetic data from the National Cancer Institute (NCI)-curated Mitelman database1 to create a structured karyotype language. Then, drug-gene-disease triplets are generated via a computational pipeline connecting public drug-gene interaction data sources to identify potential drug repurposing opportunities.
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