Azadeh Alavi

PRIMITI predicts miRNA-target mRNA interactions using machine learning with CLIP-seq and expression data, achieving high AUC scores and outperforming existing methods.

DHS-Crystallize predicts protein crystallization using a hybrid sequence-based method combining deep learning and physicochemical features, outperforming existing approaches.

The paper presents a web resource, COVID-3D, that visualizes SARS-CoV-2 genetic variation in 3D structures to aid in understanding its impact on infection, immunity, and drug development.