Nienke Moret

The paper presents a machine learning framework to identify FDA-approved drugs for repurposing in Alzheimer's Disease by analyzing gene lists associated with disease severity and molecular mechanisms.

This paper refines the definition of the human kinome, identifies understudied kinases, and highlights their potential as drug targets through differential expression, essentiality, and mutation data.

The paper develops tools to compare and design optimized small molecule libraries using chemical and biological data, resulting in a more effective kinase inhibitor library.