Alexis Courbet

CF2H is a cell-free two-hybrid platform that rapidly detects high-affinity protein-protein interactions without cloning or purification.

The paper uses high-speed polarization microscopy to study dynamic heterogeneity in bacterial flagellar motors, revealing complex non-classical diffusion and potential energy landscape changes.

This paper introduces WRAPs, designed proteins that solubilize membrane proteins without detergents, enabling structural studies and vaccine development.

This paper identifies an unknown contaminant in protein samples using Cryo-EM and AI tools, leading to improved purification protocols.

The paper designs proteins that template mineralization of metal-oxides, showing they can guide hematite and ZnO growth under specific conditions.

This paper designs 3D protein crystals with specified lattice architectures using computational methods, achieving atomic accuracy and demonstrating successful experimental validation.

The paper designs closed repeat proteins with central pockets using deep learning and validates them in E. coli, showing structural consistency and potential for small molecule binding.

Fine-tuning RoseTTAFold as a diffusion denoiser gives RFdiffusion, a general protein backbone generator; a designed influenza haemagglutinin binder matched its model by cryo-EM.

This paper computationally designs self-assembling protein rotary machines that sample internal rotational degrees of freedom based on energy landscapes.

This paper designs reconfigurable asymmetric protein assemblies using implicit negative design principles, enabling stable subunit exchange and diverse complex formations.

The paper introduces a computational method for designing rigid protein assemblies through three-body fusion and validates it experimentally with mass spectrometry and cryo-EM.

This paper designs two post-translational protein oscillators inspired by the KaiABC system, using reversible binding and phosphorylation/dephosphorylation reactions.