Mattia Utichi

MAVISp: A Modular Structure-Based Framework for Protein Variant Effects

MAVISp provides a modular structural framework for analyzing protein variant effects, offering over eight million variants across 1000 proteins with curated data and a web server for accessibility.

Decoding ATG9A Variation: A Comprehensive Structural Investigation of All Missense Variants

This study predicts the impact of all missense variants in ATG9A using structural analysis and variant effect predictors, identifying potentially damaging variants and their molecular mechanisms.

In-Silico Stability Predictors: Investigation of Performance Towards balanced Experimental Data

The paper benchmarks protein stability predictors using a balanced dataset of AlphaFold structures, showing performance declines when balancing data and highlighting the benefits of molecular dynamics ensembles over static structures.

Role of N-glycosylation as a determinant of ATG9A conformations and activity

This study uses MD simulations to show that N99 glycosylation in ATG9A enhances protomer interactions and lipid scrambling, but does not significantly affect autophagy flux.

RosettaDDGPrediction for high-throughput mutational scans: from stability to binding

RosettaDDGPrediction enables high-throughput calculation of free energy changes from amino acid substitutions using Rosetta, with tools for data aggregation and visualization.