Pablo Sánchez-Izquierdo Besora

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 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.