Lorenzo Amir Nemati Fard

This study shows that activating GABAergic circuits with baclofen enhances the effectiveness of anti-PD-L1 immunotherapy in glioblastoma, leading to tumor regression and prolonged survival in mice.

This study analyzes mutations in neural signaling pathways across cancers, finding 65% of patients have alterations linked to poor survival and complex pathway interactions.

This study predicts 3D structures of human GPCR-G protein complexes using AlphaFold3 and uses machine learning to predict coupling potency, revealing new signaling mechanisms and coupling preferences across GPCR subtypes.

The paper analyzes cell-cell interactions (CCIs) in transcriptomic data, showing they are more co-expressed in cancer and associated with patient survival and immunotherapy response.

This study develops a method to predict protein-protein direct interactions and stable complexes using co-expression and co-evolution data, achieving high AUROC scores and better performance than existing tools.

The paper analyzes GPCR signaling dysregulation in cancer transcriptomics data to identify therapeutic targets and survival-associated signaling axes.