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University of Liverpool

Country: United Kingdom

University of Liverpool

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2,911 Projects, page 1 of 583
  • Funder: EC Project Code: 628506
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  • Funder: EC Project Code: 622254
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  • Funder: EC Project Code: 862102
    Funder Contribution: 150,000 EUR

    This project has two main deliverables in the area of organic electronics: (i) A database of molecular semiconductors with predicted high charge mobility. This database contains molecular materials that are characterized structurally but the vast majority of its entries are not tested or intellectually protected as molecular semiconductors. The quality of our predictions was verified in a recent paper published in Nature Materials (doi:10.1038/NMAT4970) and such database is therefore of great commercial value. (ii) A software to predict the charge mobility of newly synthesized molecular materials. Such product will help all developers of new materials to identify their best lead compounds and explore rapidly many variants. Saving time (only the most promising candidates are characterized in full) and reducing the risk of competitors taking advantage of a discovery by minor modification of a good material. The exploitation plan includes intellectual protection (patent) of the best molecules in (i) and copyright of the software (in (ii)), followed by commercialization of both.

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  • Funder: UKRI Project Code: EP/C015266/1
    Funder Contribution: 444,647 GBP

    A fundamental question in nuclear physics is, 'what are the limits on the number of protons and neutrons that can be bound inside an atomic nucleus?' The aim of this research proposal is to answer a vital part of this question by determining more carefully than ever before the precise location of what is known as the proton drip line. The proton and neutron drip lines are the borders between bound and unbound nuclei. Those at the proton drip line have such a large excess of protons that they are highly unstable and try to achieve greater stability through the process of proton emission. We propose to investigate, through complementary theoretical and experimental research programmes, how nuclear behaviour is affected when protons become unbound. Most of the established theoretical models of nuclei have been designed for and fitted to the properties of more stable nuclei. Thus by exploring the exotic nuclei at the farthest shores of the nuclear landscape, the deviation of their behaviour from those predicted by the standard models should be at its greatest and the inadequacies of those models revealed most dramatically. The proposal is for a new collaboration between the nuclear theory group at the University of Surrey and the experimental groups at Daresbury Laboratory and the University of Liverpool. The programme will extend both experimental knowledge and theoretical understanding of drip line nuclei. One of our standard tools for understanding nuclear behaviour is with a mathematical model called the 'mean field approach' in which individual protons and neutrons (collectively known as nucleons) are considered to move in an average energy field generated by all the other nucleons in that nucleus. Around the proton drip line it will be necessary to make use of mathematical techniques beyond this mean field picture to examine how nucleons interact with, and are 'aware of', each other's presence more accurately. Such behaviour, as for example the way two nucleons

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  • Funder: EC Project Code: 708563
    Overall Budget: 183,455 EURFunder Contribution: 183,455 EUR

    Ageing is the main correlate of dementia and several other neurodegenerative diseases which currently affect more than 6 million people in Europe. Molecular understanding of these brain conditions is important for their prevention and treatment. In mice, pathological granular structures positive for periodic acid-Schiff stain have been found in the hippocampus with increasing age. The degenerative process of granule formation appears to originate in astrocytes, but adjacent neuronal structures are affected and, accordingly, associated memory impairments have been described. Recent studies reported that granules express glycosidic neo-epitopes, a hallmark of the degenerative granule formation process. This neo-epitope has additionally been found in Lafora bodies of a mouse model of Lafora disease, a fatal neurodegenerative condition. On the other hand, mice serum contains natural IgM antibodies that recognise the glycosidic neo-epitope, suggesting a potentional removal mechanism. In this project, I aim to describe the structure of the glycosidic neo-epitopes of the hippocampal granules as well as the composition of the degenerative granules and Lafora bodies. To achieve these goals, I will employ a multidisciplinary approach exploiting glycomics and neurobiology, with the application of leading-edge technologies that include histological methods, analytical techniques, MALDI-MS imaging and laser-capture microdissection. Moreover, the binding patterns of the anti-neo-epitope natural IgMs will also be explored. Finally and importantly, the expression of the glycosidic neo-epitope in human brain will be assessed. Overall, the knowledge generated will provide new data on brain degenerative processes underlying age-related memory impairments in humans. Ultimately this project will generate new insights for the use of glycosidic neoepitopes as biomarkers for ageing and neurodegenerative diseases, and for prevention and therapeutic strategies using natural antibodies.

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