Research Data Leeds Repository

Items where Division is "Faculty of Biological Sciences > School of Molecular and Cellular Biology" and Year is 2025

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Number of items: 8.

Bifsa, Foteini and Simmons, Katie (2025) Predictive modelling of the COMATOSE transporter reveals a conserved ligand binding pocket for acyl-CoAs and validates previous functional studies. University of Leeds. [Dataset] https://doi.org/10.5518/1759

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

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

Gao, Zeqian, Scott, James, Edwards, Matthew, Casey, Dylan, Wang, Xiaoling, Gillen, Andrew and Boyes, Joan (2025) Circular Extra-chromosomal DNA in BCP-ALL. University of Leeds. [Dataset] https://doi.org/10.5518/1693

Machin, Jonathan (2025) Data associated with 'Protein-induced membrane asymmetry modulates OMP folding kinetics and stability'. University of Leeds. [Dataset] https://doi.org/10.5518/1603

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

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

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

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