Mario Tumbarello

Antigen-agnostic identification of poxvirus broadly neutralizing antibodies targeting OPG153

The paper identifies OPG153 as a target of broadly neutralizing antibodies against MPXV and related viruses using antigen-agnostic isolation, AlphaFold 3 modeling, and cryo-EM.

B cell maturation restored ancestral germlines to control Omicron BA.2.86

The paper analyzes neutralizing antibodies from vaccinated and hybrid immune individuals to show that restored B cell germlines enhance neutralization against SARS-CoV-2 variants like BA.2.86.

Common, low-frequency, rare, and ultra-rare coding variants contribute to COVID-19 severity.

The paper develops a machine learning model to predict COVID-19 severity using exonic variants from whole exome sequencing data, finding that variants across all frequency categories contribute to severity.