Active Trans-Membrane Transport through Transition Metal Catalysed Iterative C-H Functionalisation (May Change)

Lead Research Organisation: University of Bristol
Department Name: Chemistry

Abstract

Autonomous chemically-fuelled directional motion underpins the function of many of nature's magnificent biological motor proteins. Mimicking or replicating such behaviour in artificial small molecule systems is a hugely exciting challenge. Numerous artificial systems have been developed which allow the passive transport of molecular cargo across lipid bilayers.1 However, systems which exhibit active transport are much less well developed. The aim of this project is to use a recently developed novel methodology, involving iterative functionalisation of hydrophobic molecular tracks to create a system capable of actively transporting molecular cargo across a protocell membrane.

By exploiting two processes reported in the literature, it has been possible to achieve rhodium catalysed iterative C-H functionalisation of biphenyl, and terphenyl, boronic acid tracks. This process combines-for the first time-transition metal-catalysed directing group-assisted C-H functionalisation with [1,n] transition metal migrations. Finding a methodology to efficiently synthesise longer polyphenyl boronic acid tracks will be a key starting point for this project. Investigation and optimisation of the rhodium catalysed iterative C-H functionalisation of these longer tracks will follow. This project will also involve the development of new transition-metal catalysed iterative functionalisation methodologies.

Exploiting the Gobbo group's extensive expertise in the development and investigation of synthetic protocells, we propose that the hydrophobic molecular tracks could be inserted across a protocell membrane to achieve active transport of molecular cargo under chemically-fuelled conditions.

In biological systems, transport across membranes often represents a crucial step in complex chemical cascades or signalling pathways. In this project, such sophisticated chemical networks will be used as inspiration for the development of novel synthetic cells with transition metal catalyst-mediated chemical signalling properties.

1) S. Chen, Y. Wang, T. Nie, C. Bao, C. Wang, T. Xu, Q. Lin, D. H. Qu, X. Gong, Y. Yang, L. Zhu and H. Tian, J. Am. Chem. Soc., 2018, 140, 17992-17998.
2) M. Lautens, W. Klute, W. Tam, L. F. Tietze, A. Padwa, M. D. Weingarten, D. F. Harvey, D. M. Sigano, M. Malacria, E. Negishi, C. Copéret, S. Ma, S.-Y. Liou, F. Liu, T. Satoh, Y. Kawamura, M. Miura, M. Nomura, M. Catellani, L. Ferioli, F. Cugini, G. J. Bocelli, R. C. Larock and P. L. Johnson, Angew. Chem., Int. Ed. Engl, 1996, 96, 42.
3) S. Ma and Z. Gu, Angew. Chemie Int. Ed., 2005, 44, 7512-7517.

Planned Impact

1. PEOPLE: We will train students with skills that are in demand across a spectrum of industries from pharma/biotech to materials, as well as in academia, law and publishing. The enhanced experience they receive - through interactive brainstorming, problem and dragons' den type business sessions - will equip them with confidence in their own abilities and fast-track their leadership skills. 100% Employment of students from the previous CDT in Chemical Synthesis is indicative of the high demand for the skills we provide, but as start-ups and SMEs become increasingly important in the healthcare, medicine and energy sectors, training in IP, entrepreneurship and commercialisation will stimulate our students to explore their own ventures. Automation and machine learning are set to transform the workplace in the next 20 years, and our students will be in the vanguard of those primed to make best use of these shifts in work patterns. Our graduates will have an open and entrepreneurial mindset, willing to seek solution to problems that cross disciplines and require non-traditional approaches to scientific challenges.

2. ECONOMY: Built on the country's long history of scientific ingenuity and creativity, the >£50bn turnover and annual trade surplus of £5 bn makes the British chemical sector one of the most important creators of wealth for the national economy. Our proposal to integrate training in chemical synthesis with emerging fields such as automation/AI/ML will ensure that the UK maintains this position of economic strength in the face of rapidly developing competition. With the field of drug development desperately looking for innovative new directions, we will disseminate, through our proposed extensive industrial stakeholders, smarter and more efficient ways of designing and implementing molecular synthesis using automation, machine learning and virtual reality interfaces. This will give the UK the chance to take a world-leading position in establishing how molecules may be made more rapidly and economically, how compound libraries may be made broader in scope and accessed more efficiently, and how processes may be optimized more quickly and to a higher standard of resilience. Chemical science underpins an estimated 21% of the economy (>£25bn sales; 6 million people), so these innovations have the potential for far-reaching transformative impact.

3. SCIENCE: The science emerging from our CDT will continue to be at the highest academic level by international standards, as judged by an outstanding publication record. Incorporating automation, machine learning, and virtual reality into the standard toolkit of chemical synthesis would initiate a fundamental change in the way molecules are made. Automated methods for making limited classes of molecules (eg peptides) have transformed related biological fields, and extending those techniques to allow a wide range of small molecules to be synthesized will stimulate not only chemistry but also related pivotal fields in the bio- and materials sciences. Synthesis of the molecular starting points is often the rate-limiting step in innovation. Removing this hurdle will allow selection of molecules according to optimal function, not ease of synthesis, and will accelerate scientific progress in many sectors.

4. SOCIETY: Health benefits will emerge from the ability of both academia and the pharmaceutical industry to generate drug targets more rapidly and innovatively. Optimisation of processes opens the way for advances in energy efficiency and resource utilization by avoiding non-renewable, environmentally damaging, or economically volatile feedstocks. The societal impact of automation will extend more widely to the freeing of time to allow more creative working and also recreational pastimes. We thus aim to be among the pioneers in a new automation-led working model, and our students will be trained to think through the broader consequences of automation for society as a whole

Publications

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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/S024107/1 01/10/2019 31/03/2028
2645229 Studentship EP/S024107/1 01/10/2020 30/09/2024 Emma Hollis