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Quantum Chemical Exploration of Reaction Networks: From Origins of Life to De Novo Enzyme Design

Project description

Expanding our understanding of catalytic and molecular processes

Reaction networks underpin virtually all chemical transformations, making a detailed understanding of their structure and underlying mechanisms essential for controlling existing processes and uncovering new reaction pathways across chemistry, materials science and biochemistry. This holds the potential to revolutionise a variety of fields and sectors including sustainability solutions. However, gaining insights into reaction networks requires substantial time and resources. The ERC-funded QCexplore project will develop an unbiased quantum-chemical reaction network exploration method and a fully automated and high-efficiency open-source software framework to build, visualise and interpret reaction networks. QCexplore will utilise a variety of novel techniques and refinement procedures from various fields to allow for high efficiency and exploration in fully controlled, realistic conditions.

Objective

Gaining comprehensive insights into chemical and biochemical reaction networks is crucial for understanding and controlling molecular and catalytic processes; however, unraveling their intricate mechanisms remains a key challenge. QCexplore will provide a generally applicable solution to this challenge by developing an unbiased quantum-chemical reaction network exploration method and a highly efficient, fully automated open-source software framework.

The starting point for these developments is our proof-of-concept approach of a computational hyperreactor introduced in 2024. By integrating reactivity-enhancing concepts – such as external acceleration of system components and elevation of the potential energy surface (hyperdynamics) – with fast, linear-scaling quantum-chemical methods, QCexplore’s framework will enable efficient and unbiased exploration of reaction networks under fully controlled and realistic conditions. The incorporation of novel data mining techniques, along with efficient refinement procedures, will allow for effective navigation and analysis of the reaction network’s data for identifying relevant reaction pathways. In this way, QCexplore overcomes traditional, manual and error-prone approaches to reaction mechanism elucidation.

The performance of QCexplore’s developed framework will be demonstrated by tackling key questions in origins of life research, such as how essential molecular building blocks are formed and combined to create larger aggregates like RNA strands. Further, it will be applied to lay a robust foundation for de novo enzyme design by accurately identifying the key steps in catalytic processes, determining dominant reaction pathways, and uncovering strategies to enhance enzymatic activity and selectivity. The demonstrated versatility of the QCexplore framework is expected to open new avenues for the interplay between theory and experiment.

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HORIZON-ERC - HORIZON ERC Grants

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Call for proposal

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(opens in new window) ERC-2024-ADG

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Host institution

LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 2 495 175,00
Address
GESCHWISTER SCHOLL PLATZ 1
80539 MUNCHEN
Germany

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Region
Bayern Oberbayern München, Kreisfreie Stadt
Activity type
Higher or Secondary Education Establishments
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Total cost

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