The Synthetic Biology and Biosystems Control Lab (SB2CL) belongs to the Institute for Automatica and Industrial Informatics (ai2) at the Universitat Politècnica de València (UPV, Spain). The SB2C Lab focuses its research on the use of engineering principles and tools for the analysis, design and synthesis of biological systems, with special emphasis on applications of systems engineering and control to Systems and Synthetic Biology, and Bioprocesses estimation and control.
Our main interests are in:
- Synthetic dynamic regulation of gene expression, both applied to the control of variability in gene expression and to the dynamic regulation of novel routes to obtain complex chemicals
Multi-objective optimization-based tuning of synthetic genetic circuits and its application to the standard characterization of parts and modules
- Machine learning application to modeling and design of metabolic pathways. Automated workflows (RetroPath), selection of enzymes (Selenzyme), design of DNA (promoters, RBS, etc) and optimal experimental design
- Machine learning based prediction of chemical diversity including the discovery of new bio-products and bioparts.
- Automation of the DBTL cycle. Protocol development for optimal process design biofabrication.
Analysis of metabolic networks using possibilistic methods and network theory for Metabolic Flux Analysis and Flux Balance Analysis
Sliding-mode observers and controllers for estimation and control in biosystems