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Imaging Protein-protein Interactions in vivo
Published on: October 10, 2010
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Fr-PPIChem: An Academic Compound Library Dedicated to Protein-Protein Interactions.
Nicolas Bosc1,2, Christophe Muller3, Laurent Hoffer4
1Inserm U973 MTi, 25 rue Hélène Brion 75013 Paris, France.
ACS Chemical Biology
|April 23, 2020
Summary
A new French chemical library (Fr-PPIChem) enhances high-throughput screening for protein-protein interaction inhibitors (iPPIs). This curated library significantly improves hit rates for discovering potential therapeutics targeting cellular processes.
Area of Science:
- Drug discovery and medicinal chemistry
- Molecular biology and cell signaling
- Computational chemistry and cheminformatics
Background:
- Protein-protein interactions (PPIs) are crucial for cellular functions and disease, but challenging drug targets.
- Existing screening libraries yield low hit rates for PPI inhibitors (iPPIs) due to unsuitable compound collections.
- Developing effective small molecule iPPIs requires innovative screening approaches and targeted chemical libraries.
Purpose of the Study:
- To construct a novel, curated chemical library specifically designed for the high-throughput screening of PPI inhibitors.
- To leverage predictive modeling and medicinal chemistry principles to enrich the library with drug-like PPI-targeting compounds.
- To enhance the discovery of chemical probes and early drug leads for therapeutic intervention in diseases mediated by PPIs.
Main Methods:
- Development of predictive models using machine learning and databases of known PPI inhibitors.
- Selection of compounds from commercial collections based on complementarity and predictive model scores.
- Application of medicinal chemistry filters (e.g., PAINS, toxicity) and clustering for library optimization.
- Validation of the library's efficacy using high-throughput screening against the CD47-SIRPα PPI.
Main Results:
- The Fr-PPIChem library demonstrated a 46-fold increase in activity rate compared to a standard diversity library in screening against the CD47-SIRPα PPI.
- Predictive models and medicinal chemistry filters successfully enriched the library with putative PPI inhibitors.
- The library's chemical diversity was maintained while reducing its size through clustering.
Conclusions:
- The Fr-PPIChem library represents a powerful, optimized resource for accelerating the discovery of PPI inhibitors.
- This curated library significantly improves the efficiency of high-throughput screening for identifying novel chemical probes and drug candidates.
- The Fr-PPIChem library is available to the scientific community, facilitating research in PPI-targeted drug development.
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