Teams

Team for general BY-COVID contributions

Background information

Task 5.2 aims to demonstrate how mobilisation of real-world population, health and care data across national borders can provide answers to policy-relevant research questions. Eventually, it aims to prototype a workflow that is standard for population health research. Here, the research question is approached by identifying a causal effect that allows to evaluate a public health intervention. As such, a methodology for approaching causal inference when conducting ...

In the Cancer Therapeutics and Drug Safety research group, headed by Bob Van de Water, cell signaling programs that underlie adverse drug reactions as well as cancer development and progression are unraveled. Adverse drug reactions involve cell injury in critical target organ cells which leads to the activation of cellular stress response signaling pathways. We study the molecular mechanisms of cellular stress response activation and control of cell survival and cell death. In the context of ...

Computational Algorithms for Protein Structures and Interactions - Inria, CNRS, University of Lorraine The CAPSID team develops algorithms and software to help study biological systems and phenomena from a structural point of view. In particular, the team aims to develop algorithms to facilitate and improve the 3D modeling of large multi-component bio-molecular machines.

CRS4 Digital Pathology Platform

The research group focuses on chemical data in the context of biological systems. The investigated areas include structural bioinformatics of proteins and the application of computational methods of molecular modeling for designing the structural activity of new small molecules for specific biological effects.Another focus of the group is the development and operation of chemical databases and tools. The MolMeDB database collects physicochemical data on interactions of small molecules with membranes ...