Protein Synthetic BiologyApply
The StruBE synthetic biology team is harnessing the power of proteins to forge innovative tools for biotech and medical applications. We are collaborating with material scientists and chemists to embed our designer proteins in novel materials or bioelectronic circuits. Ongoing projects include the design of next-generation biosensors, smart drugs, targeted therapeutic protein degrading systems, and designer enzymes for industrial applications. This entails experimental and computational work as well as the development of robotic liquid handling workflows. On the experimental side, a prospective student will be involved with protein production from E. coli or mammalian cell culture and the biophysical characterization of protein-protein interactions or enzymatic (whole-pathway) reactions. Prior wet-lab experience is a plus. A computational project in support of protein design and lab automation would require prior knowledge in Python programming. Hence, the interdisciplinary projects can host students from various backgrounds, e.g. from biochemistry, (bio)engineering, protein structural biology, or computer science.
Program - BioScience
Division - Biological and Environmental Sciences and Engineering
Faculty Lab Link - https://strube.kaust.edu.sa/
Field of Study - Synthetic Biology
Stefan T. Arold
Professor, Bioscience<br/>Associate Dean, Biological and Environmental Science and Engineering Division
Professor Arold’s research interests are focused on integrative structural biology based on hybrid approaches. His work involves inferring structure and function of macromolecular assemblies, to enhance computational methods for functional annotation of genes (system-wide or focused), and to design and engineer molecules with desired properties (switches, genetic/epi-genetic regulators, detectors).
Desired Project Deliverables
*protein production from E. coli or mammalian cell culture and the biophysical characterization of protein-protein interactions or enzymatic (whole-pathway) reactions. *A computational project in support of protein design and lab automation would require prior knowledge in Python programming.