Nicolas Coudray

The paper reports cryo-EM structures of P. aeruginosa PA3214 and E. coli PqiC lipoproteins interacting with their MCE protein partners, revealing their assembly and functional interactions.

This paper develops a self-supervised computational pathology framework to identify prognostic histomorphological phenotypes in colorectal cancer using H&E images and tile embeddings.

This study investigates the polar tube firing dynamics and ultrastructure of EHP, identifying optimal activation conditions and revealing structural features important for infection.

The paper introduces a modular bond-centric design approach for protein assemblies, demonstrating the successful creation of multiple polyhedral cages, 2D arrays, and 3D lattices with high success rates.

The paper determines the structure of E. coli LetAB, identifies LetA as a novel transporter family, and proposes a mechanism for lipid transport using proton-motive force.

The paper uses cryo-electron tomography to reveal the in situ architecture of the polar tube invasion apparatus in microsporidian parasites.

This paper uses self-supervised learning to identify histomorphological patterns in colon cancer WSIs, revealing clinically relevant clusters associated with survival and treatment responses.

This paper identifies two conformations of the γ-tubulin ring complex (γ-TuRC) using cryo-EM and proposes a model for how conformational changes facilitate microtubule nucleation.

This study identifies inflammation in tumor-adjacent lung tissue as a predictor of clinical outcome in lung adenocarcinoma using multi-omic analysis of 143 stage I cases.