Completed Chemistry Cells, Biochemistry & Physiology

From Dynamic Combinatorial to Systems Chemistry

In plain English

AI plain-English summary

Chemists are building molecular mixtures that can sense and respond to their environment, much like a lock that changes shape to fit a key. Dynamic combinatorial chemistry already lets scientists create synthetic receptors—molecules that grab specific targets. But the technique has unexplored dimensions: molecules within a mixture can recognise each other, fold into new shapes, and react to added templates. This project will systematically study how these three layers of recognition interact. The second part pushes into systems chemistry, asking what unexpected properties emerge when many different molecules mingle in a complex soup. This is fundamental science. There is no immediate practical application. The goal is to establish systems chemistry as a discipline—to understand how molecular networks behave, rather than how individual molecules act alone. Past fundamental work on self-assembly and molecular recognition laid the groundwork for drug delivery, sensors, and responsive materials. A deeper grasp of how molecules collectively organise could eventually lead to adaptive catalysts, self-healing materials, or chemical systems that process information. But for now, the aim is simply to map the rules of this uncharted chemical territory.

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The field of dynamic combinatorial chemistry has been growing exponentially over the last decade, with the UK playing a leading role. We have been at the forefront of this rapid expansion, thanks to uninterrupted support from the EPSRC over the last 10 years. As a result, dynamic combinatorial chemistry is now a powerful and established method for the development of synthetic receptors. But this is only part of the promise that dynamic combinatorial chemistry holds: the technique has largely untapped potential for exploring self-assembly by making use of molecular recognition between library members and for exploring the folding of synthetic molecules by making use of molecular recognition within library members. Both of these dimensions of molecular recognition should respond to externally added templates, which represents a third dimension of recognition. The first part of this grant is about developing dynamic combinatorial chemistry to study the interplay between these three dimensions. The second part explores a conceptually new area of systems chemistry, focussing on the new properties that may emerge from the interplay between molecules in a complex mixture. Through this work we aim to establish systems chemistry as a new discipline.

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Researchers

Jeremy Sanders (Principal Investigator)Sijbren Otto (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

RS Fellow - EPSRC grant (2014): Application of Tandem Non-Covalent Interactions to the Development of New Enantioselective Reactions
Non-Statisticality, Selectivity and Phase Space Structure in Organic Reactions
A Computational Approach to Solvent Selection for Tandem Reactions: A Tool for Process Intensification
Physical Organic Chemistry: Opportunities in Synthesis, Materials and Pharmaceuticals
EPSRC Centre for Doctoral Training in Automated Chemical Synthesis Enabled by Digital Molecular Technologies

Original classification

Research Grant

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