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Drugs, Disease-Target associations, Clinical Trial, Analytics, Cheminformatics, Bioinformatics, ZPR1 Dissertation Department of Chemistry and Chemical Biology Dr. Jeremy Edward Dr. Jeremy Yang Dr. William Garver Dr. Yi He Abok, Jeremiah I.. "Drug Targets Illumination: An Evidence-Based Data Analytics & Informatics Approach to Hypothesis Generation Through Clinical Trials and Genomic Variants." (2025). https://digitalrepository.unm.edu/chem_etds/237
The authors have declared no competing interest. This work was partially supported by US National Institutes of Health [U24 224370] "Illuminating the Druggable Genome Knowledge Management Center" (IDG KMC). I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.
Abstract Advanced sequencing technologies enable rapid detection of sequence variants, aiming to uncover the molecular foundations of human genetic disorders. The challenge lies in interpreting the influence of new exome variants that lead to diverse phenotypes. Our study introduces a detailed, multi-tiered method for assessing the impact of novel variants, particularly focusing on the zinc finger protein 1 (ZPR1) gene.
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