Research at SBML is mainly concerned with solving medical and biotech problems by using systems biology approaches. Representative studies include:

1. Building and analyzing biological networks (metabolism, signaling and transcriptional regulations) of medically and/or industrially important biological systems

2. Predicting effective drug targets for both infectious and chronic diseases using biological network models

3. Predicting drug responses by using chemical and medical data

To this end, we use a wide range of computational approaches, including machine learning, genome-scale metabolic model and bioinformatics, to effectively analyze bio big data. We also have an extensive research collaboration network (e.g., hospitals and companies) for our studies.