KURGAN Lab: (un)Structural Bioinformatics
Director:Lukasz Kurgan, Ph.D.
Qimonda Chair Professor and Vice Chair, Department of Computer Science
Location:Engineering East Hall, Room E4254
401 W Main St
Richmond, VA 23284
The (un)Structural Bioinformatics Lab, under the guidance of Lukasz Kurgan, Ph.D., uses in-silico approaches to improve our understanding of life at the molecular level. We search for patterns, generate models, and interpret information encoded in biologically interesting macromolecules, from individual proteins to complete genomes and proteomes, using modern, high-throughput, and custom-built machine learning algorithms.
Major research areas
- Structure and function prediction and modeling of proteins and small RNAs
- Binding of small ligands (including drugs), peptides, DNAs, and RNAs to proteins
- Prediction and characterization of intrinsic disorder
- Structural genomics