of the group @ UG
The screening systems we intend to employ are particularly suitable for tailoring stability and binding affinities, but we aim to also tackle the challenging task of enzyme design. Resulting from a strong believe in the transformative potential of synthetic biology, we are particularly interested in enzymatic functions enabling the manipulation of genetics and bio-orthogonal chemistry. Accordingly, our research generates workflows in which computationally designed enzyme variants are screened for the biocatalytic production of modified cofactors, nucleotides, and DNA/RNA, intended to create commercially valuable molecules, and for synthetic biology and biomedical applications.
In June 2022, Maximilian Fürst (Max) started as an assistant professor at the University of Groningen (UG or RUG) in the Netherlands. His research group investigates the development and application of methods in computational protein design and high-throughput screening. Main targets of interest are enzymes that synthesize or modify cofactors, nucleotides, and nucleic acids, useful for applications in biotechnology, synthetic biology, and pharma.
Before that, Max did a postdoc with Phil Holliger at the MRC Laboratory of Molecular Biology in Cambridge, developing high-throughput enzymatic screens to engineer DNA polymerases for synthetic biology applications. He obtained his PhD at the UG in 2019 working on protein engineering of monooxygenases for biocatalysis. His thesis can be obtained here.
PhD in Biochemistry, 2019
University of Groningen
MSc in Biology, 2013
University of Munich
BSc in Biology, 2011
University of Munich
The group is embedded in the Groningen Biomolecular Sciences and Biotechnology Institute (GBB), within the Faculty of Science and Engineering at the University of Groningen (UG).
Groningen is a vibrant and international student city (1 in 4 of the ~240k inhabitants is a student, and 1 in 4 students is international) located ~2h northeast of Amsterdam, in the Netherlands. The UG ranks among the world’s top institutes, and PhD students are very well supported: you enjoy student benefits (e.g. heavily subsidised access to the sport center and discounts), but usually are hired as staff, and consequently receive pension, child support, etc. PhD student salaries are among the highest in Europe, while Groningen is one of the Dutch student cities with the lowest costs of living. If you move to NL from abroad, you get a substantial income tax discount. English is ubiquitously spoken in the Netherlands, and everthying from the (very straightforward Dutch) bureaucracy, to shopping, to following courses can be done without the need to learn Dutch (although the UG pays free courses!) The Dutch are famously direct and open, and hierarchies are amazingly flat. Even more so than is usual in academia, PhDs and PostDocs in NL are typically given considerable freedom and independency and are encouraged to team work. The group is embedded in the Groningen Biomolecular Sciences & Biotechnology Institute (GBB) and with the Biochemistry/Biotechnology group, headed by Prof. Dr. M. Fraaije. Since June 2024 on, we are located in the completely new Feringa building of the Zernike campus.
In general, if you are able to fully provide your own funding and are interested in joining the lab, please get in touch.
Postdoc applications are always welcome if you are able to procure your own funding (a process I will obviously support, if possible). Check e.g. here or here for comprehensive lists of postdoc fellowships.
Students enrolled at the University of Groningen are welcome to reach out at any time to inquire about internships, bachelor, and master thesis in the group. Include a short motivation and prior research and/or course experience.
International students are also similarly welcome to get in touch. Please write an email with a CV and short motivation letter. Consider enquiring about student fellowships such as Erasmus+; otherwise, there may be other funding options, including support from the COZYME Cost action I’m part of.
Please feel free to informally reach out to me via e-mail, Twitter, or Linkedin for more information on the projects, or e-mail me your formal application documents (cover letter & CV).
*Using in silico biophysical modelling of biological macromolecules to predict desired protein characteristics.
Using cutting-edge screening technologies to sample vast numbers of (designed) protein variants.
The best of both worlds - design proteins on the computer and engineer them in the lab.
Here I’m posting random snippets of information, code, and data.
I am very easy to reach via mail and social media. You can also leave a message using this form.