GROMACS 4.5: a high-throughput and highly parallel open source molecular simulation toolkit S Pronk, S Páll, R Schulz, P Larsson, P Bjelkmar, R Apostolov, MR Shirts, ... Bioinformatics 29 (7), 845-854, 2013 | 7530 | 2013 |
Heterogeneity even at the speed limit of folding: large-scale molecular dynamics study of a fast-folding variant of the villin headpiece DL Ensign, PM Kasson, VS Pande Journal of molecular biology 374 (3), 806-816, 2007 | 239 | 2007 |
Ensemble molecular dynamics yields submillisecond kinetics and intermediates of membrane fusion PM Kasson, NW Kelley, N Singhal, M Vrljic, AT Brunger, VS Pande Proceedings of the National Academy of Sciences 103 (32), 11916-11921, 2006 | 185 | 2006 |
Formation of a highly peptide-receptive state of class II MHC JD Rabinowitz, M Vrljic, PM Kasson, MN Liang, R Busch, JJ Boniface, ... Immunity 9 (5), 699-709, 1998 | 163 | 1998 |
Control of membrane fusion mechanism by lipid composition: predictions from ensemble molecular dynamics PM Kasson, VS Pande PLoS Computational Biology 3 (11), e220, 2007 | 151 | 2007 |
Atomic-resolution simulations predict a transition state for vesicle fusion defined by contact of a few lipid tails PM Kasson, E Lindahl, VS Pande PLoS computational biology 6 (6), e1000829, 2010 | 135 | 2010 |
Managing coronavirus disease 2019 spread with voluntary public health measures: Sweden as a case study for pandemic control SCL Kamerlin, PM Kasson Clinical Infectious Diseases 71 (12), 3174-3181, 2020 | 108 | 2020 |
Persistent voids: a new structural metric for membrane fusion PM Kasson, A Zomorodian, S Park, N Singhal, LJ Guibas, VS Pande Bioinformatics 23 (14), 1753-1759, 2007 | 98 | 2007 |
Viral factors in influenza pandemic risk assessment M Lipsitch, W Barclay, R Raman, CJ Russell, JA Belser, S Cobey, ... Elife 5, e18491, 2016 | 94 | 2016 |
Lipid tail protrusion in simulations predicts fusogenic activity of influenza fusion peptide mutants and conformational models P Larsson, PM Kasson PLoS Computational Biology 9 (3), e1002950, 2013 | 93 | 2013 |
SARS-CoV-2 receptor networks in diabetic and COVID-19–associated kidney disease R Menon, EA Otto, R Sealfon, V Nair, AK Wong, CL Theesfeld, X Chen, ... Kidney international 98 (6), 1502-1518, 2020 | 82 | 2020 |
Dynamic heterogeneity controls diffusion and viscosity near biological interfaces S Pronk, E Lindahl, PM Kasson Nature communications 5 (1), 3034, 2014 | 78 | 2014 |
Improving pandemic influenza risk assessment CA Russell, PM Kasson, RO Donis, S Riley, J Dunbar, A Rambaut, ... Elife 3, e03883, 2014 | 73 | 2014 |
Copernicus: A new paradigm for parallel adaptive molecular dynamics S Pronk, P Larsson, I Pouya, GR Bowman, IS Haque, K Beauchamp, ... Proceedings of 2011 International Conference for High Performance Computing …, 2011 | 73 | 2011 |
Kinetics of Peptide Binding to the Class II MHC Protein I−Ek PM Kasson, JD Rabinowitz, L Schmitt, MM Davis, HM McConnell Biochemistry 39 (5), 1048-1058, 2000 | 72 | 2000 |
Structure of the Neisserial Outer Membrane Protein Opa60: Loop Flexibility Essential to Receptor Recognition and Bacterial Engulfment DA Fox, P Larsson, RH Lo, BM Kroncke, PM Kasson, L Columbus Journal of the American Chemical Society 136 (28), 9938-9946, 2014 | 67 | 2014 |
Gromacs user manual E Apol, R Apostolov, HJ Berendsen, A Van Buuren, P Bjelkmar, ... Royal Institute of Technology and Uppsala University, Sweden, 1991 | 63 | 1991 |
Ebolavirus entry requires a compact hydrophobic fist at the tip of the fusion loop SM Gregory, P Larsson, EA Nelson, PM Kasson, JM White, LK Tamm Journal of virology 88 (12), 6636-6649, 2014 | 57 | 2014 |
Influenza hemagglutinin drives viral entry via two sequential intramembrane mechanisms A Pabis, RJ Rawle, PM Kasson Proceedings of the National Academy of Sciences 117 (13), 7200-7207, 2020 | 54 | 2020 |
Water ordering at membrane interfaces controls fusion dynamics PM Kasson, E Lindahl, VS Pande Journal of the American Chemical Society 133 (11), 3812-3815, 2011 | 53 | 2011 |