We pursue highly interdisciplinary research at the interface of computational biology, structural biology, and systems biology.
We aim to construct genome-scale models of complex biomolecular systems
such as proteins and protein networks
with high spatial and temporal resolutions. By further analyzing these high-resolution
models, we aim to elucidate the relationship between sequence, structure, function, and evolution of
biomolecular systems, to probe design principles of biological molecules and networks, and to
investigate systems biology mechanisms of disease. To achieve these aims, we develop and use diverse
computational methods ranging from theory and simulation to modeling and informatics.
- Computational Structural Biology focuses on computer modeling and analysis of protein structures. Ongoing projects in
the lab include: prediction of protein three-dimensional structure and function, modeling protein
- Computational Systems Biology focuses on computer modeling and analysis of protein networks. Ongoing projects in the
lab include: reconstruction of protein-protein interaction and regulatory networks by genomic data integration, modeling
structure and dynamics of protein-protein interaction and regulatory networks.
- Molecular and Network Evolution focuses on evolutionary analysis of proteins and protein networks. Ongoing projects in
the lab include: comparative and evolutionary analysis of proteins, comparative and evolutionary analysis of
protein-protein interaction and regulatory networks, evolutionary design principles of proteins and protein networks.
- Bioinformatics Algorithms and Applications. We are developing and applying novel bioinformatics
algorithms to analyze biological sequence, structural and functional data of interest.