Patrick Barth

EPFL SV IBI-SV UPBARTH
AAB 0 46 (Bâtiment AAB)
Station 19
1015 Lausanne

Mission

At the Laboratory of Protein and Cell Engineering, we work at the interface of biophysics, chemical, structural, computational and cell biology to uncover the molecular principles and mechanisms which regulate protein and cellular signaling. Using this knowledge, we (1) design protein systems with novel biosensing and signaling functions for synthetic biology and engineered cell therapeutic applications, (2) predict the effects of genetic variations on protein structure/function for personalized cancer medicine applications. We are particularly interested in deciphering the molecular underpinnings regulating signaling and transport across biological membranes which control cellular processes but have been particularly challenging to study experimentally and remain poorly understood. The outstanding questions that we currently address include: 1. Can we develop of computational techniques that accurately model and design membrane protein structure and interactions with small drug, lipid and peptide molecules? 2. Can we design membrane receptors with reprogrammed signaling properties for synthetic biology and neurobiological applications? 3. Can we design membrane protein systems to rewire signaling pathways in engineered immune cells for improving cancer immunotherapies? 4. Can we interrogate genome sequences with protein modeling for precision personalized cancer medicine?
Professor Patrick Barth is Associate Professor at EPFL and Adjunct Associate Professor at Baylor College of Medicine, Houston, TX, USA. He received training in Physics, Chemistry and Biology (University of Paris, ENS) in France and performed his PhD at the Commissiariat a l'Energie Atomique in Saclay, France on structure/function studies of membrane proteins (photosystem I) using biochemical and biophysical experimental techniques. He carried out postdoctoral studies at University of California at Berkeley with Tom Alber on computational development for calculating protein electrostatics and designing de novo selective peptide inhibitors of cellular protein interactions. He then went to the University of Washington as a postdoctoral fellow and instructor in David Baker's laboratory to develop computational techniques in the software Rosetta for predicting and designing membrane protein structures. He started his independent career and received tenure at Baylor College of Medicine. He will continue at EPFL to marry computation and experiment for understanding the molecular determinants of signal transduction, as well as modeling and designing membrane proteins with novel functions for various synthetic biology and therapeutic applications. 

Selected publications

Reprogramming cellular functions with engineered membrane proteins

Arber C, Young M, Barth P
Published in Curr Opin Biotechnol. 2017 Jul 11;47:92-101. doi: 10.1016/j.copbio.2017.06.009. [Epub ahead of print] Review. PMID: 28709113 in

Teaching & PhD

PhD Students

Sobhan Ahmadian Moghadam, Reyhaneh Ayardulabi, Remo Bättig, David Greiner, Naman Mishra, Miguel Angel Pedraza Joya, Lorenzo Scutteri, Michal Jan Winnicki, Shuhao Zhang, Jiying Zhang

Past EPFL PhD Students

Gabriele Gambardella (2025), Mahdi Hijazi (2024), Dániel Kéri (2021), Matthieu Marfoglia (2025), Ana Paola Rico Villarreal (2026), Liyan Yang Smeding (2024)

Courses

Practical - Barth Lab

BIO-603(BP)

This course will convey the concepts and experimental techniques for studying the signal transduction mediated by receptors across biological membranes.

Scientific literature analysis in computational molecular biology

BIO-468

The goal of this course is to learn to analyze a scientific paper critically, asking whether the data presented support the conclusions that are drawn. The analysis is presented in the form of a summary presentation and critical, constructive assessments of the paper.

Synthetic biology

BIOENG-320

This advanced Bachelor/Master level course will cover fundamentals and approaches at the interface of biology, chemistry, engineering and computer science for diverse fields of synthetic biology. This class requires critical and analytical thinking at the frontiers of multiple disciplines