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 sequence-structure-function relationships.

• 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.