Research Interest: Computational Biology
Name | PhD Program | Research Interest | Publications |
---|---|---|
Forest, Greg WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
Research interests include: transport processes in the lung, flow and structure of nano-materials & macromolecular fluids, weakly compressible transport phenomena, solitons and optical fiber applications, inverse problems for material characterization and modeling of transport in multiphase porous media. |
Elston, Timothy WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
The Elston lab is interested in understanding the dynamics of complex biological systems, and developing reliable mathematical models that capture the essential components of these systems. The projects in the lab encompass a wide variety of biological phenomena including signaling through MAPK pathways, noise in gene regulatory networks, airway surface volume regulation, and understanding energy transduction in motor proteins. A major focus of our research is understanding the role of molecular level noise in cellular and molecular processes. We have developed the software tool BioNetS to accurately and efficiently simulate stochastic models of biochemical networks |
Chen, Xian WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
Developing and applying novel mass spectrometry (MS)-based proteomics methodologies for high throughput identification, quantification, and characterization of the pathologically relevant changes in protein expression, post-translational modifications (PTMs), and protein-protein interactions. Focuses in the lab include: 1) technology development for comprehensive and quantitative proteomic analysis, 2) investigation of systems regulation in toll-like receptor-mediated pathogenesis and 3) proteomic-based mechanistic investigation of stress-induced cellular responses/effects in cancer pathogenesis. |
Carter, Charles WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
Molecular evolution and mechanistic enzymology find powerful synergy in our study of aminoacyl-tRNA synthetases, which translate the genetic code. Class I Tryptophanyl-tRNA Synthetase stores free energy as conformational strain imposed by long-range, interactions on the minimal catalytic domain (MCD) when it binds ATP. We study how this allostery works using X-ray crystallography, bioinformatics, molecular dynamics, enzyme kinetics, and thermodynamics. As coding sequences for class I and II MCDs have significant complementarity, we also pursuing their sense/antisense ancestry. Member of the Molecular & Cellular Biophysics Training Program. |
Burch, Christina WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
Experimental Evolution of Viruses. We use both computational and experimental approaches to understand how viruses adapt to their host environment. Our research attempts to determine how genome complexity constrains adaptation, and how virus ecology and genetics interact to determine whether a virus will shift to utilizing new host. In addition, we are trying to develop a framework for predicting which virus genes will contribute to adaptation in particular ecological scenarios such as frequent co-infection of hosts by multiple virus strains. For more information, and for advice on applying to graduate school at UNC, check out my lab website www.unc.edu/~cburch/lab. |
Hedrick, Tyson WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
Research in my laboratory focuses on how animals produce and control movement, with a particular interest in animal flight. We use both computational and experimental techniques to examine how organismal components such as the neuromuscular and neurosensory systems interact with the external environment via mechanics and aerodynamics to produce movement that is both accurate and robust. Keywords: biomechanics, flight, avian, insect, neural control, muscle, locomotion, computational modeling. |
Jones, Corbin WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
The goal of my research is to identify, clone, and characterize the evolution of genes underlying natural adaptations in order to determine the types of genes involved, how many and what types of genetic changes occurred, and the evolutionary history of these changes. Specific areas of research include: 1) Genetic analyses of adaptations and interspecific differences in Drosophila, 2) Molecular evolution and population genetics of new genes and 3) Evolutionary analysis of QTL and genomic data. |
Kuhlman, Brian WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
We focus on a variety of design goals including the creation of novel protein-protein interactions, protein structures, vaccine antigens and light activatable protein switches. Central to all of our projects is the Rosetta program for protein modeling. In collaboration with developers from a variety of universities, we are continually adding new features to Rosetta as well as testing it on new problems. |
Lee, Andrew WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
We study protein structure and dynamics as they relate to protein function and energetics. We are currently using NMR spectroscopy (e.g. spin relaxation), computation, and a variety of other biophysical techniques to gain a deeper understanding of proteins at atomic level resolution. Of specific interest is the general phenomenon of long-range communication within protein structures, such as observed in allostery and conformational change. A. Lee is a member of the Molecular & Cellular Biophysics Training Program. |
Li, Yun WEBSITE PUBLICATIONS |
PHD PROGRAM RESEARCH INTEREST |
The Yun Li group develops statistical methods and computational tools for modern genetic, genomic, and epigenomic data. We do both method development and real data applications. The actual projects in the lab vary from year to year because I am motivated by real data problems, and genomics is arguably (few people argue with me though) THE most fascinating field with new types and huge amount of data generated at a pace more than what we can currently deal with. For current projects, please see: https://yunliweb.its.unc.edu/JobPostings.html |