Delphine Dessaux

A Generative Neuro-Symbolic AI for Protein Sequence Design

This paper introduces EffieDes, a neuro-symbolic AI framework for protein sequence design that combines deep learning with automated reasoning to generate sequences with complex functional properties.

Promiscuous structural cross-compatibilities between major shell components of Klebsiella pneumoniae bacterial microcompartments

This study identifies structural cross-compatibilities between BMC-H paralogs in Klebsiella pneumoniae, revealing hetero-hexamer formation and reinterpreting existing mass spectrometry data.

Designing symmetrical multi-component proteins using a hybrid generative AI approach

This paper introduces a hybrid generative AI approach to design multi-component proteins by combining deep learning and automated reasoning, showing improved performance over existing methods in creating heteromeric assemblies.