Arthrospira (Spirulina) is a cyanobacterium producing high valuable substances such as polyunsaturated fatty acids. Systems biology of Spirulina, including genomics, transcriptomics, and proteomics, allows the study and understanding of its biological processes.
Bioinformatics plays an important role to analyze biomedical data for studying human health and diseases e.g. cancer. The research leads identifications of biomarkers for diagnosis, prognosis and prediction of drug respond.
Modeling a (crop) plant to predict the phenotype under the exposed condition. Omics data analysis, biological network reconstruction and mathematical modeling have been applied to study the dynamic regulation inside plant cells, aiming to precision science for tailor-made yield and quality of phyto-products.
Bioinformatics/Systems Biology and Computer-aided drug design and discovery (CADD) empower the research to gain insight in e.g. drug-receptor interactions; potential gene and/or protein targets; structure and function of biomolecules, using several molecular techniques which allow the designing of new effective drugs while saving cost and time.
With the global food and energy crises, systems biology and mathematical modeling will play a major role to understand the complex process of photosynthesis and how the process can be engineered with the aim to increase photosynthetic efficiency.
Metagenomics is the study of genetic materials (of microbiome) derived directly from environmental samples using high-throughput sequencing technology. Microbiome is important for human, animal and plant health, including maintaining environmental balance.
Systems Biology & Bioinformatics Laboratory (SBI)
Bioactive Compound & Efficiency Platform Research Group (BICEP)