Publications
Incomplete list of recent publications.
[1]
E. Foord et al.,
"Characterization of ascites- and tumor-infiltrating gamma delta T cells reveals distinct repertoires and a beneficial role in ovarian cancer,"
Science Translational Medicine, vol. 13, no. 577, 2021.
[2]
T. Pinheiro et al.,
"CUBIC-f : An optimized clearing method for cell tracing and evaluation of neurite density in the salamander brain,"
Journal of Neuroscience Methods, vol. 348, 2021.
[3]
O. Fleetwood, J. Carlsson and L. Delemotte,
"Identification of ligand-specific G protein-coupled receptor states and prediction of downstream efficacy via data-driven modeling,"
eLIFE, vol. 10, 2021.
[4]
L. Delemotte,
"Chapter 7 : Bridging the Gap between Atomistic Molecular Dynamics Simulations and Wet-lab Experimental Techniques: Applications to Membrane Proteins,"
in RSC Theoretical and Computational Chemistry Series, : Royal Society of Chemistry, 2021, pp. 247-286.
[5]
O. Fleetwood and L. Delemotte,
"Identification of Ligand-Specific G-Protein Coupled Receptor States and Prediction of Downstream Efficacy Via Data-Driven Modeling Oliver Fleetwood, Lucie Delemotte.,"
Biophysical Journal, vol. 120, no. 3, pp. 94A-94A, 2021.
[6]
C. Bergh et al.,
"Conformational Landscapes of Ligand-Gated Ion Channel GLIC from Markov State Modeling,"
Biophysical Journal, vol. 120, no. 3, pp. 58A-58A, 2021.
[7]
S. Perez-Conesa et al.,
"Informing NMR experiments with molecular dynamics simulations to characterize the dominant activated state of the KcsA ion channel,"
Journal of Chemical Physics, vol. 154, no. 16, 2021.
[8]
M.-R. Ghovanloo et al.,
"Cannabidiol inhibits the skeletal muscle Nav1.4 by blocking its pore and by altering membrane elasticity,"
The Journal of General Physiology, vol. 153, no. 5, 2021.
[9]
O. Fleetwood et al.,
"Elucidation of G-protein-coupled receptor activation via data-driven modeling,"
European Biophysics Journal, vol. 50, no. SUPPL 1, pp. 74-74, 2021.
[10]
A. Bodén,
"3D super-resolution microscopy of living cells using reversibly switchable fluorophores,"
Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-SCI-FOU, 2021:33, 2021.