Elizabeth Brunk
Assistant Professor, Jointly Appointed with the School of Pharmacy
Genome Sciences Building919-843-7100
elizabeth_brunk@med.unc.edu
Research Interests
Identify functionally relevant variants in cancer, Understand how molecular pathways and variants drive drug response, Develop methods to integrate cancer omics data across biological scales, Develop tools for functional precision medicine
Research Synopsis
Research in the Brunk laboratory focuses on developing computational methods that accelerate the clarity and utility of omics data in biomedical science. Our aim is understanding the link between genetic/molecular variation and phenotype, both in natural and engineered cellular systems. We approach these topics through the lens of computational biology, machine learning and advanced data integration. Thanks to the growing body of cancer omics data, our methods borrow strength across genomics, transcriptomics, ribosome profiling, proteomics, structural genomics, metabolomics and phenotype variability data.
Our research has uncovered patterns in variants that co-occur in three-dimensional protein space and their downstream, molecular and clinical phenotypes. We also develop methods that explore how cells respond to drugs and genetic engineering. Broadly speaking, we aim to better understand how cells achieve regulation at multiple scales of complexity and which genetic and molecular variants influence this process.
Professional Background
News & Publications
The ligand-to-metal charge transfer (LMCT) transitions of [Re(dmpe)3]2+ (dmpe = bis-1,2-(dimethylphosphino)ethane) were interrogated using UV/Vis absorbance spectroscopy, photoluminescence spectroscopy, and time-dependent density functional theory.
Here we elucidate the fundamental factors controlling the two binding modes and determining which is favored for a given metal–ligand system, using both quantitative density functional theory (DFT) and qualitative molecular orbital (MO) analyses.