Damiano Buratto

The paper designs and validates high-affinity RNA aptamers for SARS-CoV-2 that match the binding affinity of neutralizing antibodies.

ANUBI optimizes protein and peptide drug candidates by simulating sequence space and binding affinity calculations, improving target binding efficiency and reducing costs.

This study compares computational methods for calculating antibody binding affinities and finds equilibrium MMPBSA outperforms other methods for a specific antibody-peptide system.

This study designs non-covalent CDK7 inhibitors using computational methods to improve selectivity and safety compared to THZ1.

AlphaVacc optimizes neoantigen peptides using deep reinforcement learning, improving binding affinity and T cell response in experimental validation.