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[DPEPhosbcpCu]PF6: A General and Broadly Applicable Copper-Based Photoredox Catalyst
Published on: May 21, 2019
Redox-Mediated Amination of Pyrogallol-Based Polyphenols.
Salavat S Ashirbaev1, Natércia F Brás1,2, Patricia Frei3
1Department of Chemistry, Ludwig Maximilian University of Munich, Butenandtstraße 5-13, 81377, Munich, Germany.
Flavonoids covalently modify amyloidogenic peptides via oxidative dearomatization, amination, and reductive amination (ODARA). This study reveals key structural features for effective flavonoid cross-coupling and antioxidant activity, aiding anti-amyloid drug design.
Area of Science:
- Medicinal Chemistry
- Organic Chemistry
- Biochemistry
Background:
- Flavonoids are natural compounds with potential therapeutic applications.
- Amyloidogenic peptides are implicated in neurodegenerative diseases.
- Covalent modification of peptides by flavonoids is a known phenomenon.
Purpose of the Study:
- To elucidate the mechanism of flavonoid-polyphenol coupling with N-nucleophiles.
- To identify structural determinants for efficient flavonoid cross-coupling and antioxidant activity.
- To develop a predictive model for designing novel flavonoid-based anti-amyloid compounds.
Main Methods:
- In vitro and in silico studies to assess the coupling process.
- Crystallographic analysis to confirm regioselectivity.
- Thermodynamic property calculations (bond dissociation energies).
- Multivariate analysis for predictive modeling.
Main Results:
- The coupling reaction proceeds via oxidative dearomatization, amination, and reductive amination (ODARA).
- Flavonoids with a pyrogallol substructure and an electron-withdrawing group at C4a show optimal C-N coupling.
- Pyrogallol units are crucial for antioxidant activity through synergistic radical-scavenging mechanisms.
- A predictive model achieved high accuracy (r=0.93) for cross-coupling yields.
Conclusions:
- The ODARA mechanism explains flavonoid-peptide covalent modification.
- Structural features of flavonoids significantly influence their reactivity and antioxidant capacity.
- The developed predictive model facilitates the rational design of novel flavonoid-based covalent inhibitors for anti-amyloid therapies.
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