Energy Transfer Catalysis: A Highway to Molecular Complexity
HighEnT aims to innovate synthetic methodologies using visible light-mediated EnT catalysis to create complex organic molecules for pharmacological applications, enhancing chemical space and reaction design.
Projectdetails
Introduction
The development of novel synthetic methodologies is one of the most essential chemical research areas since the access to organic molecules is the foundation for many applied sciences (e.g. medicinal chemistry, materials science). In recent years, the construction of increasingly complex molecular scaffolds has gained significance, with a particular need for conformationally restricted, three-dimensional architectures.
Challenges in Synthesis
However, the synthesis of such molecular frameworks remains exceptionally challenging, limiting their application in other research branches. Consequently, revealing novel strategies to convert simple feedstock chemicals into complex building blocks has a beneficial impact on society as a whole.
Project Overview
In HighEnT, we will disclose ground-breaking methodologies augmenting the synthetic toolbox of organic chemists, focusing on expanding the chemical space to discover pharmacologically relevant structural motifs. The key to success is the creative and innovative utilization of the unique triplet excited state reactivity enabled by visible light-mediated EnT catalysis, providing a platform for unconventional retrosynthetic disconnections.
Areas of Investigation
Based on our broad expertise in this field, we will investigate diverse areas of EnT catalysis, including:
- Non-classical cycloadditions
- Dearomative cycloadditions
- σ-bond cleavage processes
In each domain, longstanding challenges will be solved with respect to product motifs, chemical space expansion, and mechanistic understanding.
Innovative Approaches
Furthermore, we envision the merger of N-heterocyclic carbene (NHC) organocatalysis with EnT catalysis, opening otherwise locked reaction pathways.
Prediction Platform Development
Finally, to guide our product- and mechanism-oriented reaction discovery, we will develop and apply a novel prediction platform based on the interconnection of quantum chemical calculations and machine learning. We aim to provide easily accessible tools and statistical analyses that give new insights and impetus for reaction design.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 2.499.250 |
Totale projectbegroting | € 2.499.250 |
Tijdlijn
Startdatum | 1-10-2023 |
Einddatum | 30-9-2028 |
Subsidiejaar | 2023 |
Partners & Locaties
Projectpartners
- UNIVERSITAET MUENSTERpenvoerder
Land(en)
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This project aims to uncover the mechanisms behind Wolbachia's antiviral protection in insects and develop tools for studying symbiont gene function.
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