Naufa Amirani

The paper develops MDmis, a method using molecular dynamics simulations of intrinsically disordered regions to predict variant pathogenicity, finding Long IDRs show stronger pathogenic effects than Short IDRs.

This paper uses machine learning to identify cellular signatures in human motor neurons that distinguish TDP-43 ALS subtypes and enable patient stratification.

This study compares the effects of HTT knockout and CAG repeat expansion in cortical neurons, identifying shared and distinct biological pathways involved in HD.