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Systematically Prioritizing Candidates in Genome-Based Drug Repurposing
Author(s) -
Anup P. Challa,
Robert R. Lavieri,
Judith T. Lewis,
Nicole M. Zaleski,
Jana K. Shirey-Rice,
Paul A. Harris,
David M. Aronoff,
Jill M. Pulley
Publication year - 2019
Publication title -
assay and drug development technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.402
H-Index - 56
eISSN - 1557-8127
pISSN - 1540-658X
DOI - 10.1089/adt.2019.950
Subject(s) - drugbank , repurposing , drug repositioning , computer science , drug discovery , computational biology , genomics , drug , bioinformatics , medicine , genome , pharmacology , biology , genetics , gene , ecology
Drug repurposing is the application of approved drugs to treat diseases separate and distinct from their original indications. Herein, we define the scope of all practical precision drug repurposing using DrugBank, a publicly available database of pharmacological agents, and BioVU, a large, de-identified DNA repository linked to longitudinal electronic health records at Vanderbilt University Medical Center. We present a method of repurposing candidate prioritization through integration of pharmacodynamic and marketing variables from DrugBank with quality control thresholds for genomic data derived from the DNA samples within BioVU. Through the synergy of delineated "target-action pairs," along with target genomics, we identify ∼230 "pairs" that represent all practical opportunities for genomic drug repurposing. From this analysis, we present a pipeline of 14 repurposing candidates across 7 disease areas that link to our repurposability platform and present high potential for randomized controlled trial startup in upcoming months.

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