Christina Lamers

This study develops cyclic peptides from phage display to modulate β2-integrin receptors, showing they inhibit ligand binding to I-domains and affect cell adhesion.

The paper introduces a machine learning framework to predict accurate energy functions derived from the Interacting Quantum Atoms (IQA) scheme, enabling rapid and interpretable analysis of molecular interactions.

This study designs improved VEGFA inhibitors using computational tools, achieving higher affinity than existing peptides with minimal experimental rounds.