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Items where Author is "Radford, Sheena E."

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Number of items: 25.

Dataset

Dewison, Katherine and Radford, Sheena E. (2025) Mapping the Role of Monomer Conformation in the Amyloid Formation of α-Synuclein Splice Variants. University of Leeds. [Dataset] https://doi.org/10.5518/1695

McKay, Conor E., Deans, Miles, Connor, Jack P., Saunders, Janet C., Lloyd, Christopher, Radford, Sheena E. and Brockwell, David J. (2025) Data associated with "Employing Deep Mutational Scanning in the E. coli Periplasm to Decode the Thermodynamic Landscape For Amyloid Formation". University of Leeds. [Dataset] https://doi.org/10.5518/1653

Machin, Jonathan and Radford, Sheena E. (2025) Data for "OmpA specifically modulates the activity of OMP enzymes in the crowded bacterial outer membrane". University of Leeds. [Dataset] https://doi.org/10.5518/1667

Taylor, Alexander I. P., Xu, Yong, Wilkinson, Martin, Chakraborty, Pijush, Brinkworth, Alice, Willis, Leon, Zhuravleva, Anastasia, Ranson, Neil A., Foster, Richard and Radford, Sheena E. (2025) Data for 'Kinetic Steering of Amyloid Formation'. University of Leeds. [Dataset] https://doi.org/10.5518/1604

Connor, Jack P., Radford, Sheena E. and Brockwell, David J. (2025) Data for 'Structural and Thermodynamic Classification of Amyloid Polymorphs'. University of Leeds. [Dataset] https://doi.org/10.5518/1659

Fenn, Katherine, Horne, Jim E., Crossley, Joel A., Calabrese, Antonio N., Radford, Sheena E. and Ranson, Neil A. (2024) Data for 'Outer membrane protein assembly mediated by BAM-SurA complexes'. University of Leeds. [Dataset] https://doi.org/10.5518/1460

Chau, Chalmers C., Maffeo, Christopher M., Aksimentiev, Aleksei, Radford, Sheena E., Hewitt, Eric W. and Actis, Paolo (2024) Data for Single molecule delivery into living cells. University of Leeds. [Dataset] https://doi.org/10.5518/1512

Willis, Leon F., Trayton, Isabelle, Saunders, Janet C., Bruque, Maria G., Birch, William Davis, Westhead, David R., Day, Katie, Devine, Paul W. A., Lloyd, Christopher, Kapur, Nikil, Radford, Sheena E., Darton, Nicholas J. and Brockwell, David J. (2024) Rationalising mAb candidate screening using a single holistic developability parameter' - data. American Chemical Society. [Dataset] https://doi.org/10.5518/1470

Dewison, Katherine and Radford, Sheena E. (2024) Residues 2 to 7 of α-synuclein regulate amyloid formation via lipid-dependent and lipid-independent pathways. University of Leeds. [Dataset] https://doi.org/10.5518/1422

Crossley, Joel A., Allen, William J., Watkins, Daniel W., Sabir, Tara, Radford, Sheena E., Tuma, Roman, Collinson, Ian and Fessl, Tomas (2023) Dynamic coupling of fast channel gating with slow ATP-turnover underpins protein transport through the Sec-translocon. University of Leeds. [Dataset] https://doi.org/10.5518/1410

Aubrey, Liam D., Ulamec, Sabine M., Ninkina, Natalia, Abramycheva, Natalia Y., Limorenko, Galina, Vasili, Eftychia, Devine, Oliver M., Wilkinson, Martin, Walko, Martin, Outeiro, Tiago F., Chaprov, Kirill D., Muwanga, Sarah, Amadio, Leonardo, Peters, Owen M., Illarioshkin, Sergey N., Ranson, Neil A., Brockwell, David J., Buchman, Vladimir L. and Radford, Sheena E. (2023) Substitution of Met-38 to Ile in gamma-synuclein found in two patients with amyotrophic lateral sclerosis induces aggregation into amyloid. University of Leeds. [Dataset] https://doi.org/10.5518/1315

Marcuccio, Fabio, Soulias, Dimitrios, Chau, Chalmers C., Radford, Sheena E., Hewitt, Eric W., Actis, Paolo and Edwards, Martin A. (2022) Data for "Mechanistic Study of the Conductance and Enhanced Single-Molecule Detection in a Polymer Electrolyte Nanopore". University of Leeds. [Dataset] https://doi.org/10.5518/1274

Chau, Chalmers C., Marcuccio, Fabio, Soulias, Dimitrios, Edwards, Martin A., Tuplin, Andrew, Radford, Sheena E., Hewitt, Eric W. and Actis, Paolo (2022) Data set for Probing RNA conformations using a polymer electrolyte solid-state nanopore. University of Leeds. [Dataset] https://doi.org/10.5518/1251

Guthertz, Nicolas, Van der Kant, Rob, Smith, Hugh, Maya-Martinez, Roberto, Xu, Yong, Trinh, Chi H., Iorga, Bogdan I., Rousseau, Frederic, Schymkowitz, Joost, Brockwell, David J. and Radford, Sheena E. (2022) Dataset associated with 'The effect of mutation on an aggregation-prone protein: An in vivo, in vitro and in silico analysis'. University of Leeds. [Dataset] https://doi.org/10.5518/1073

Maya-Martinez, Roberto, Xu, Yong, Guthertz, Nicolas, Walko, Martin, Sobott, Frank, Karamanos, Theodoros, Breeze, Alexander L. and Radford, Sheena E. (2022) Dimers of D76N-β2-microglobulin display potent anti-amyloid aggregation activity. University of Leeds. [Dataset] https://doi.org/10.5518/1159

Xu, Yong, Maya-Martinez, Roberto, Guthertz, Nicolas, Heath, George R., Manfield, Iain W., Breeze, Alexander L., Sobott, Frank, Foster, Richard and Radford, Sheena E. (2022) Supporting data for "Tuning the rate of aggregation of hIAPP into amyloid using small-molecule modulators of assembly". University of Leeds. [Dataset] https://doi.org/10.5518/1000

White, Paul, Haysom, Samuel, Iadanza, Matthew G., Higgins, Anna J., Machin, Jonathan, Whitehouse, James, Carpenter-Platt, Charlotte, Horne, Jim E., Brockwell, David J., Ranson, Neil A. and Radford, Sheena E. (2021) Supporting data for “The role of membrane destabilisation and protein dynamics in BAM catalysed OMP folding”. University of Leeds. [Dataset] https://doi.org/10.5518/835

Ulamec, Sabine M. and Radford, Sheena E. (2020) Data associated with 'Looking beyond the core: The role of flanking regions in the aggregation of amyloidogenic peptides and proteins'. University of Leeds. [Dataset] https://doi.org/10.5518/893

Chau, Chalmers C., Radford, Sheena E., Hewitt, Eric W. and Actis, Paolo (2020) Dataset for Macromolecular crowding enhances the detection of DNA and proteins by a solid-state nanopore. University of Leeds. [Dataset] https://doi.org/10.5518/841

Calabrese, Antonio N., Schiffrin, Bob, Watson, Matthew, Walko, Martin, Humes, Julia R., Karamanos, Theodoros, Horne, Jim E., White, Paul, Kalli, Antreas, Tuma, Roman, Ashcroft, Alison E., Brockwell, David J. and Radford, Sheena E. (2020) Inter-domain dynamics in the chaperone SurA and multi-site binding to its outer membrane protein clients - dataset. University of Leeds. [Dataset] https://doi.org/10.5518/701

Doherty, Ciaran P. A., Ulamec, Sabine M., Maya-Martinez, Roberto, Good, Sarah C., Makepeace, Jemma, Khan, G. Nasir, van Oosten-Hawle, Patricija, Radford, Sheena E. and Brockwell, David J. (2019) Data associated with 'A short motif in the N-terminal region of alpha-synuclein plays a critical role in aggregation and function'. University of Leeds. [Dataset] https://doi.org/10.5518/707

Ebo, Jessica S., Saunders, Janet C., Devine, Paul W. A., Gordon, Alice M., Warwick, Amy S., Schiffrin, Bob, Chin, Stacey E., England, Elizabeth, Button, James D., Lloyd, Christopher, Bond, Nicholas J., Ashcroft, Alison E., Radford, Sheena E., Lowe, David and Brockwell, David J., AstraZeneca (2019) Data associated with 'An in vivo platform to select and evolve aggregation-resistant proteins'. University of Leeds. [Dataset] https://doi.org/10.5518/739

Karamanos, Theodoros, Jackson, Matthew P., Calabrese, Antonio N., Goodchild, Sophia C., Cawood, Emma, Thompson, Gary S., Kalverda, Arnout P., Hewitt, Eric W. and Radford, Sheena E. (2019) Structural mapping of oligomeric intermediates in an amyloid assembly pathway - dataset. University of Leeds. [Dataset] https://doi.org/10.5518/329

Martin, Esther M., Jackson, Matthew P., Gamerdinger, Martin, Gense, Karina, Karamanos, Theodoros, Humes, Julia R., Deuerling, Elke, Ashcroft, Alison E. and Radford, Sheena E. (2018) Data associated with 'Conformational flexibility within the nascent polypeptide–associated complex enables its interactions with structurally diverse client proteins'. University of Leeds. [Dataset] https://doi.org/10.5518/295

Dobson, John, Kumar, Amit, Willis, Leon, Higazi, Daniel, Turner, Richard, Lowe, David, Tuma, Roman, Ashcroft, Alison E., Radford, Sheena E., Kapur, Nikil and Brockwell, David J., MedImmune (2017) Data associated with 'Inducing protein aggregation by extensional flow'. University of Leeds. [Dataset] https://doi.org/10.5518/125

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