Gianluca Cioci

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.

This study investigates the structure and mechanism of glucan water dikinase 1 using biochemical methods, AlphaFold2 modeling, and X-ray crystallography to understand its catalytic function and domain dynamics.

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.