Biotechnology is a focus of research and teaching at RPTU University Kaiserslautern-Landau (RPTU).
Departments from the Departments of Biology, Chemistry, Mechanical and Process Engineering, Computer Science, Mathematics and Electrical Engineering are involved in the biotechnology focus with many projects and train students for the job market in biotechnology and bioprocess engineering. In addition to DFG- and BMBF-funded projects, there are many collaborations with industry.
The state of Rhineland-Palatinate supports the biotechnology focus.
Molecular BioTechnology
We use and develop innovative biotechnology methods in molecular biology research.
Examples include the development of stress-resistant plants, research into bacterial interactions in biofilms and the molecular basis of ageing and neurodegeneration.
GRK STRESSistance
NeuroDegX
TR-SFB
BioInformatics
Due to the information-driven nature of biotechnological research at RPTU and the resulting focus on large and complex data, bioinformatics is a central component of our research.
A combination of biology, applied computer science, biostatistics and machine learning techniques drives the development of theory and technology in biotechnology.
BioComp
NFDI
BioAnalytics
The center for MS analytics at RPTU, which is part of the central infrastructure, uses mass spectrometric coupling techniques for biotechnological drug development (bioprocess analysis of active ingredients, metabolites and protein targets). In addition to the functional characterization of biotechnologically produced peptides and proteins, fermentates from bacterial and fungal cultures, the focus is on the structure-activity-guided identification of active ingredients and toxicologically relevant substances.
In the Imaging Center, protein structures / drug targets are identified using various laser microscopes.
BioComp
Imaging Center
Mass Spec Facility
BioProcess Engineering
In addition to the development of innovative cultivation processes (microbial processes and plant cell culture technology), BioProcess Engineering at RPTU also includes the interdisciplinary BioProcess Analytics Lab, which provides in-depth insights into the dynamics of bioprocesses in addition to the analytics center.
Based on various online and offline techniques (e.g. online NMR, 2D fluorescence spectroscopy), process models and simulations are developed in conjunction with artificial intelligence (AI). In addition to cultivation, the work also focuses on questions of downstream processing.
iProcess
NanoKat
SFB 926