Fabio Parmeggiani

CLIMBS is a graph neural network classifier that assesses carbohydrate-protein interactions using synthetic negative data, showing high accuracy and specificity.

The paper identifies and characterizes intramolecular isopeptide bonds in protein domains across organisms, revealing their structural and functional significance.

This paper introduces SIMPLIFE, a computational workflow for designing optimal insertion sites for conjugation tags in proteins, demonstrating its use in augmenting T7 RNA polymerase function.

This paper develops a probabilistic coarse-grained model to design repeat protein structural dynamics efficiently, demonstrating its application to modular repeat proteins.