RESEARCH

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ELiS Teams

UBL-

Uncharted Biosynthetic Landscapes

We are interested in discovering novel bioactive microbial metabolites. Microbial metabolites play important roles in medicine and they are a key source of antibiotics, anticancer agents or immunosuppressants. We develop sequencing, bioinformatics and synthetic biology methods to rapidly detect and characterize novel genes responsible for the biosynthesis of cryptic microbial metabolites. We also work on involving the general public in helping to source new…

MDM-

Molecular Diversity of Microbes

Our research revolves around bacteria and their viruses, phages. Facing the abundance and diversity of their viruses, bacteria and archaea have developed multiple lines of defense that can be referred to as « prokaryotic immune systems ». Our research focuses on these anti-phage immune systems. We are trying to understand evolutionary patterns and molecular mechanisms of these systems but also how to use them for medical applications.

SEED-

Systems Engineering and Evolution Dynamics

The Lindner team’s main efforts rely on years of investment in building an intellectual and experimental framework based on interdisciplinary approaches, harnessing physics and computer science and on welcoming young researchers to address key questions in Life Sciences with Systems and Synthetic Biology approaches, mainly focusing on Escherichia coli as the simplest model organism. Focal projects include study of phenotypic variability, ageing…

ELiS Hosted Start-Ups

Generare 

A data-driven platform for the discovery of novel drug leads of microbial origins.

Laastix

Engineering of Microorganisms for synthetic biology-based natural rubber production.

ELiS iGEM Team

The main concept of our project is to develop a bio-manufacturable lubricant gel which binds to target proteins on pathogen surfaces, thus immobilizing them and acting as a physical barrier for infection and transmission. The binding protein, its target, and consequently the target pathogen will be highly modular through AI-based protein design using RF Diffusion.

iGEM (International Genetically Engineered Machine) competition is a worldwide synthetic biology competition that was initially aimed at improving people’s understanding of synthetic biology while also developing an open community and collaboration between groups composed of university students, but also high school students, entrepreneurs, overgraduates…

Applications