Simulation of influenza virus entry. Molecular dynamics simulation is used to model the interaction of viral coat proteins with the target cell membrane at high resolution. Models from simulation are then compared to experimental data. Courtesy of Peter Kasson, MD,PhD, Dept. Mol. Physiology & Biol Physics

Computational Biologists at UVA use mathematical and computational techniques to analyze, explain, and predict biological systems.

The past years have brought a dramatic increase in the amount of experimental data generated by high-throughput sequencing, proteomics, metabolic and gene expression profiling, and structural techniques. Simultaneously, the computational power we have available has continued to increase exponentially.  We thus have huge data sets at our disposal coupled with the ability to make increasingly sophisticated analyses.

Computational biology at UVA includes cutting-edge research in computational biophysics, genomics, computational structural biology, and computational systems biology.  Our work is focused on addressing fundamental biological questions and understanding diseases of medical relevance, such as cancer, cardiovascular disease, lung infections in cystic fibrosis, drug-resistant bacterial infections, and influenza.

In addition to analyzing biological systems, many laboratories at UVA combine computational and experimental work, using sophisticated tools to analyze biomolecular behavior and then verifying predictions in the lab.


  • Mazhar Adli
    Understanding and manipulating the genetics and epigenetics information to study stem cells, differentiation and cancer
  • Stefan Bekiranov
    Physical Modeling of Microarray Hybridization; Analysis of Genomic Tiling Array Data; Bioinformatics; Computational Biology; Regulatory Networks
  • Jay C. Brown
    Structure and Assembly of the Herpes Simplex Virus Capsid.
  • Wei-Min Chen
    Statistical genetics and genomics.
  • Barry G. Condron
    Regulation and Function Serotonergic Neurons During Development
  • Salem Faham
    Structural biology of membrane proteins; Structure/function and structure/stability relationships and the development of new tools for protein crystallization.
  • Charles R. Farber
    Systems Genetics of Skeletal Development and Maintenance
  • Robin A. Felder
    Clinical Chemistry and Toxicology. Medical Automation Research. Neurotransmitters, cell surface receptors and intracellular second messengers.
  • Michael J. Guertin
    Transcription, Chromatin, Cancer, Molecular Biology, Genomics, and Computational Biology
  • Jeffrey W. Holmes
    Healing after myocardial infarction, cardiac growth and remodeling, and image-based modeling and diagnosis.
  • Kevin A. Janes
    Systems-biology approaches to cancer biology and virology.
  • Peter M. Kasson
    Mechanisms of cell entry by influenza; Viral glycan recognition; drug resistance; molecular dynamics simulation; distributed computing.
  • Masashi Kawasaki
    Neuroethology of electric fish
  • Robert H. Kretsinger
    Structure and Mechanism of Enzymes; Evolution of Ca-Modulated Proteins
  • William B. Levy
    The neural bases of cognition; Computational theories of brain function
  • Thomas P Loughran, Jr.
    Hematologic malignancies; bone marrow disorders; leukemia; large granular lymphocyte (LGL)