Projects per year
Abstract
Original language | English |
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Article number | e2219036120 |
Journal | Proceedings of the National Academy of Sciences of the United States of America |
Volume | 120 |
Issue number | 27 |
Early online date | 26 Jun 2023 |
DOIs | |
Publication status | Published - 4 Jul 2023 |
Keywords
- coiled coil
- Magnetic Resonance Imaging
- Binding Sites
- bioinorganic chemistry
- contrast agents
- MRI
- Peptides
- Contrast Media - chemistry
- protein design
- Copper - metabolism
Fingerprint
Dive into the research topics of 'Design of the elusive proteinaceous oxygen donor copper site suggests a promising future for copper for MRI contrast agents'. Together they form a unique fingerprint.Projects
- 4 Finished
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Enabling Shaped Pulse Capability: Enabling Shaped Pulse Capability for Superior Biological Structural Determination Using EPR Spectroscopy.
Lovett, J. E. (PI), Bode, B. E. (CoI), Penedo, C. (CoI), Pitt, S. J. (CoI), Schwarz-Linek, U. (CoI), Smith, G. M. (CoI), Watson, A. J. B. (CoI) & White, M. (CoI)
1/10/20 → 30/09/21
Project: Standard
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Cryogen-free arbitrary waveform EPR: Cryogen-free arbitrary waveform EPR for structural Biology and Biophysics
Bode, B. E. (PI), Lovett, J. E. (CoI), Pliotas, C. (CoI), Schwarz-Linek, U. (CoI), Smith, G. M. (CoI), Stewart, A. J. (CoI) & White, M. (CoI)
1/05/18 → 30/04/19
Project: Standard
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Royal Society Research Fellowship: Royal Society Research Fellowship
Lovett, J. E. (PI)
1/05/14 → 15/02/17
Project: Fellowship
Datasets
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Design of the elusive proteinaceous oxygen donor copper site suggests a promising future for copper for MRI contrast agents (dataset)
Shah, A. (Creator), Taylor, M. J. (Creator), El Mkami, H. (Creator), Smith, G. M. (Creator) & Lovett, J. E. (Creator), University of St Andrews, 31 Jul 2023
DOI: 10.17630/835ab42b-5999-4437-8ccb-34cdc630a179
Dataset
File -
Data underpinning Michael James Taylor's thesis
Taylor, M. J. (Creator), Lovett, J. E. (Supervisor) & Smith, G. M. (Supervisor), University of St Andrews, 14 May 2026
DOI: 10.17630/48cec54e-ef27-40d6-b5bf-03ca102c85b2, https://doi.org/10.17630/sta/915
Dataset: Thesis dataset