MAVISp: A Modular Structure-Based Framework for Protein Variant Effects
Matteo Arnaudi, Mattia Utichi, Kristine Degn, Matteo Tiberti, Ludovica Beltrame, Karolina Krzesińska, Pablo Sánchez-Izquierdo Besora, Eleni Kiachaki, Simone Scrima, Laura Bauer, Katrine Meldgård, Anna Melidi, Lorenzo Favaro, Anu Oswal, Guglielmo Tedeschi, , Elena Papaleo
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.
Protein Science · Apr 7, 2026Peer-reviewedBioinformatics