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Updated: Jan 29, 2026

Method for Identifying Small Molecule Inhibitors of the Protein-protein Interaction Between HCN1 and TRIP8b
Published on: November 11, 2016
Targeting S100 Calcium-Binding Proteins with Small Molecule Inhibitors
Paul T Wilder1,2, Kristen M Varney1,2, David J Weber3,4
1Center for Biomolecular Therapeutics (CBT), Department of Biochemistry and Molecular Biology, University of Maryland School of Medicine, Baltimore, MD, USA.
Researchers developed two fluorescence polarization competition assays (FPCAs) for high-throughput screening to identify S100B inhibitors for cancer therapy while avoiding S100A1 interactions. This enables efficient drug discovery for S100B-related diseases.
Area of Science:
- Biochemistry
- Molecular Biology
- Drug Discovery
Background:
- S100B is a calcium-binding protein implicated in cancer, driving interest in therapeutic inhibitors.
- Developing selective S100B inhibitors is crucial for cancer treatment, necessitating efficient screening methods.
Purpose of the Study:
- To describe two fluorescence polarization competition assays (FPCAs) for high-throughput screening (HTS) of S100B and S100A1.
- To enable the identification and characterization of S100B inhibitors with therapeutic potential.
- To develop a counter-screen assay for S100A1 to ensure inhibitor selectivity.
Main Methods:
- Development of two FPCAs for S100B and S100A1.
- Utilizing FPCAs for high-throughput screening (HTS) to determine inhibitor binding affinity (Ki).
- Establishing methods for recombinant protein expression and purification of S100B and S100A1 for HTS.
Main Results:
- Successfully established two FPCAs suitable for HTS campaigns.
- Demonstrated the utility of the assays in identifying and characterizing S100B inhibitors.
- Developed a counter-screen to exclude compounds inhibiting S100A1.
Conclusions:
- The described FPCAs are effective tools for identifying selective S100B inhibitors.
- These assays facilitate the discovery of novel therapeutics targeting S100B in diseases like cancer.
- The methods support large-scale screening efforts for drug development.
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