Matteo Arnaudi

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.

The paper uses MAVISp and molecular dynamics simulations to analyze DNA polymerase variants, classifying VUS and predicting functional consequences of POLE and POLD1 variants.

The paper develops AVENGERS, a method using CRISPR-Cas9 to classify BRCA2 variants as functional or nonfunctional, improving the interpretation of variants of uncertain significance.

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