The Computational Systems Biology Lab (CSBL) in the Department of Biochemistry and Molecular Biology at the University of Georgia consists of scientists with highly diversified training background, ranging from biochemistry, computational chemistry, molecular biology, biophysics, physics to computer science, statistics and mathematics. Our common interests are in development of computational tools for solving biological problems. Our work ranges from construction of mathematical/statistical models to development of algorithms to code implementation to applications of computational tools to solve various bio-data analysis and modeling problems.
Our lab used to develop system biology methods in biofuel research:
- Identification of key enzymes for converting (hemi)cellulose into ethanol in bacteria.
- Prediction of key metabolic pathways for (hemi)cellulose degradation.
- Identification of key enzymes for synthesis of (hemi)cellulose in plants.
- Prediction of key metabolic pathways for (hemi)cellulose synthesis.
More recently, we study the mechanisms of cancer initiation, progression, metastasis and post-metastasis development guided by large-scale omic data analyses of cancer tissue samples, statistical inference and computational modeling. Then we apply the knowledge gained to the development of diagnostic markers for cancer detection as well as the development of possible drug targets.