Methods, sources, and focus
Research Approach
This project combines peptide chemistry, protein interaction biology, and preclinical disease modeling to characterize and optimize calcineurin-NFAT inhibitors identified through a large-scale compound library screen. The work moves from hit characterization and molecular refinement through in vitro and in vivo validation toward therapeutic development.
Experimental or Computational Methods (High-Level): Characterization and optimization of peptide candidates identified from a large compound library screen targeting the calcineurin-NFAT protein-protein interaction, followed by in vitro functional assays to assess potency and selectivity, and in vivo testing in colitis models to evaluate therapeutic efficacy and safety.
Data Sources or Models Used: Large peptide compound library screen data, in vitro cell-based assays measuring calcineurin-NFAT interaction inhibition and immune activation, and in vivo mouse models of acute colitis for preclinical efficacy and tolerability assessment.
Analytical or Translational Focus
Optimization of lead peptide candidates into refined therapeutics with improved potency, selectivity, and safety profiles relative to existing calcineurin inhibitors. Successful candidates are intended to advance into clinical development as a new class of treatments for steroid-refractory acute severe ulcerative colitis.
Powering the Science
Maayan Gal, PhD, Colton Consortium Member
Associate Professor, Structural Biology, Tel Aviv University
Ehud Zigmond, MD, PhD, Colton Consortium Member
Director of the Liver Diseases Center, Gastroenterology, Sheba Medical Center, Tel Aviv University