My research journey has focused on understanding how proteins function at the molecular level through computational modelling and simulations. Trained as a structural bioinformatician, I have explored the conformational dynamics and substrate binding properties of membrane proteins. Over time, I became increasingly interested in the potential of artificial intelligence to enhance and accelerate these studies. By combining physics-based simulations with AI-driven approaches, I aim to bridge the gap between molecular-scale insight and biological complexity. At TIGEM, my work now focuses on applying these computational strategies to the study of rare diseases, where detailed molecular understanding can illuminate pathogenic mechanisms and guide therapeutic discovery. Indeed, our main project involves the computational design of protein variants with enhanced stability and/or activity that can be used to improve enzyme replacement and gene therapies.
24/11/2025
Il seminario è organizzato dall'Università di Salerno ed è fruibile in remoto all'indirizzo https://meet.google.com/mvh-ziqq-rus