A digital fingerprint to help us understand how proteins change

05/12/2025

We are proud to share that our group has contributed to an important study on the impact of missense mutations, published in the Journal of Chemical Information and Modeling. The work, carried out with the contribution of our PhD student Clarissa Poles in collaboration with Scuola Superiore Meridionale in Naples, introduces ProSECFPs, a fast and lightweight computational approach that generates a digital fingerprint of proteins, enabling rapid and reliable interpretation of sequence variations. This advancement represents a significant step forward in applying artificial intelligence to protein analysis and precision medicine.

Read more on theĀ Unipi News

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