Protein and cell engineering

Patrick BARTH
Ludwig adjunct scientist
Ludwig Institute for Cancer Research Lausanne

Associate Professor

Interfaculty Institute of Bioengegineering (IBI)

EPFL

Phone +41 21 693 9686
Email patrick.barth@epfl.ch

Our lab seeks a predictive understanding at the molecular level of how receptor proteins sense and transduce signals across membranes. We develop and apply new integrated computational-experimental approaches to model and design receptor proteins with novel functions for cell engineering and biotechnological applications.

• Wang, Y., Barth, P. Evolutionary-guided de novo structure prediction of self-associated transmembrane helical proteins with near-atomic accuracy. Nature Communications. 2015 May 21;6:7196.
• Feng, X., Barth, P. A topological and conformational stability alphabet for multi-pass membrane proteins. Nature Chemical Biology, 2016 March 12(3):167-73.
• Barth, P.*, Senes, A.* Toward high-resolution computational design of the structure and function of helical membrane proteins. Nature Structural & Molecular Biology, 2016, June 7 ;23(6):475-80.
• Feng, X., Ambia, J., Chen, K.Y., Young, M. Barth, P. Computational design of ligand binding membrane receptors with high selectivity (2017) Nature Chemical Biology, 13(7):715-723.
• Chen K.Y., Zhou F., Fryszczyn B.G., Barth P. Naturally evolved G protein-coupled receptors adopt metastable conformations. (2012) Proc Natl Acad Sci U S A 109(33), 13284-9.

• NIH NIGMS
• Eli Lilly
• EPFL