Javad Nazarian

The paper evaluates NF1-derived single amino acid variants as HLA class I neoantigens using computational prediction and experimental validation, finding discrepancies between predictions and observed sequences.

The paper uses multiplexed immunofluorescence and AI models to analyze the tumor microenvironment of diffuse midline glioma and predict antigens from H&E staining.

This study identifies long non-coding RNAs involved in Zika virus's oncolytic effect on glioblastoma multiforme through transcriptomic analysis and validation in cell lines.

OpenPBTA provides a collaborative platform to genomically characterize 1,074 pediatric brain tumors and 22 cell lines, offering analysis modules and somatic datasets for research and clinical applications.

This study uses a network polypharmacological approach to predict drug combinations for DIPG, finding moderate agreement between computational predictions and experimental results.