Molecular Modelling

We are interested in predicting the conformational behavior of biological molecules and their interactions. Our main interest is the modelling of G-Protein-Coupled Receptors: from their interactions with extra-cellular ligands to their coupling with intra-cellular partners.


We use All-Atoms MD simulations to sample the conformations of proteins, in their explicit environment (water + membrane atoms included). Classical forces fields are used including that of CHARMM and using different softwares (CHARMM, NAMD, Gromacs).

All-Atoms Molecular Dynamics


Coarse-Grained (CG) MD simulations are useful to reach some time-scales unreachable with AA models. We are using the MARTINI forces field to predict the interactions of GPCRs with their protein partners at the molecular scale and from a dynamical point of view.

Coarse-Grained Molecular Dynamics


NMA is a method of choice to predict the large amplitude (collective motions) of proteins that would not be sampled by classical MD simulations. We developp approaches combining NMA and MD simulations to explore both the local and the global rearrangments of proteins in their explicit environment.

Collective motions


We are using docking to predict the positions of ligands in their target and help to the design of more selective drugs targeting GPCRs.

Molecular Docking


We also supervise the "MUSE-VR" project which aim is to show the interest in using Virtual Reality for pedagogic usage in chemistry and structural biology.

Molecular Visualization


Nicolas Floquet

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Maxime Louet

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Antoniel Gomes (Post-Doc)

Leandro De Oliveira Santos (Post-Doc)

Bartholomé Delort (PhD)

Pedro Renault (Post-Doc)

Landry Charlier (Post-Doc)

Alexandre Perret (M2)

Esra Karakas (M2)

Adriana Garro (Erasmus)