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Anna Louise Duncan


Anna Louise Duncan

Assistant Professor (Tenure Track) Department of Chemistry

Keywords

  • Molecular Dynamics Simulation
  • Lipid Membrane Structure and Function
  • Mitochondrial supercomplexes
  • Neuronal membranes
  • Protein-Lipid Interactions
  • Protein Modelling

Head of Biomodelling Group

Tenure Track Assistant Professor Anna Louise Duncan
PhD in Molecular Biochemistry

Computational Microscopy

The aim of our work is to achieve fundamental insight into complex bio- and medicinal chemistry systems with atomic detail. In particular, we are interested in the complex and crowded membranes that enclose our cells, and specific compartments within our cells. Such knowledge is invaluable for understanding fundamental properties of life, such as cell signaling and cell-cell communication, but also for developing new drugs and as a tool to comprehend the results of advanced biophysical experiments.

We study the conformational properties of membrane proteins, constituent membrane lipids and other bio-macromolecules, using a broad range of computational methods. Protein-protein, lipid-protein, and drug-protein interactions are all biomolecular recognition events where dynamic properties play a pivotal role. Experimentally, it is extremely challenging to obtain such insight at the atomic level, and simulations can thus provide the dynamical “missing link” between structure and function.

Specifically, we study how the myriad lipid species become organised in our membranes, and the dynamic interplay between lipid organisation and that of the many proteins that crowd our membranes. We use simulations to understand this interplay in: supercomplexes of the mitochondrial membrane, which has implications for mitochondrial rare disease, and energy generation in our cells; in molecular models of membranes at synapses, and of the developing synapse, where protein-mediated cell-cell communication is key.

Our most important tools are supercomputers, 3D-vizualisation and advanced scripting. We collaborate with many experimental groups in obtaining this much wanted insight into the mechanisms of complex biochemical systems.

Recent publications

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Kolokouris, D., Kalenderoglou, I. E., Duncan, A. L., Corey, R. A., Sansom, M. S. P. & Kolocouris, A. (2025). The Role of Cholesterol in M2 Clustering and Viral Budding Explained. Journal of Chemical Theory and Computation, 21(2), 912-932. https://doi.org/10.1021/acs.jctc.4c01026
Duncan, A. L., Gao, Y., Haanappel, E., Im, W. & Chavent, M. (2024). Recent Advances in Modeling Membrane β-Barrel Proteins Using Molecular Dynamics Simulations: From Their Lipid Environments to Their Assemblies. In R. Ieva (Ed.), Transmembrane β-Barrel Proteins (Vol. 2778, pp. 311-330). Humana Press. https://doi.org/10.1007/978-1-0716-3734-0_19
Panda, A., Giska, F., Duncan, A. L., Welch, A. J., Brown, C., McAllister, R., Hariharan, P., Goder, J. N. D., Coleman, J., Ramakrishnan, S., Pincet, F., Guan, L., Krishnakumar, S., Rothman, J. E. & Gupta, K. (2023). Direct determination of oligomeric organization of integral membrane proteins and lipids from intact customizable bilayer. Nature Methods, 20(6), 891-897. https://doi.org/10.1038/s41592-023-01864-5
Ansell, T. B., Song, W., Coupland, C. E., Carrique, L., Corey, R. A., Duncan, A. L., Cassidy, C. K., Geurts, M. M. G., Rasmussen, T., Ward, A. B., Siebold, C., Stansfeld, P. J. & Sansom, M. S. P. (2023). LipIDens: simulation assisted interpretation of lipid densities in cryo-EM structures of membrane proteins. Nature Communications, 14(1), Article 7774. https://doi.org/10.1038/s41467-023-43392-y