Nicholas Henkel

The paper identifies five core protein kinases in neurons and astrocytes from familial AD patient iPSCs and examines their enriched pathways using a combination of experimental and in-silico approaches.

The paper analyzes transcriptomic data from pilocarpine-induced temporal lobe epilepsy to identify predictive biomarkers and cellular mechanisms, revealing aberrant interactions between cell types and potential drug targets.

This study compares psychiatric disorders using pathway, cell-type, drug-target, and chromosomal analyses to identify common and distinct features across an unbiased cluster of disorders.

This paper reviews signature-based in silico approaches for drug repurposing in CNS disorders, integrating data science platforms to improve clinical relevance and address regulatory and knowledge challenges.