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Connection

Ben Hall to Molecular Dynamics Simulation

This is a "connection" page, showing publications Ben Hall has written about Molecular Dynamics Simulation.
Connection Strength

1.276
  1. Transmembrane helix dynamics of bacterial chemoreceptors supports a piston model of signalling. PLoS Comput Biol. 2011 Oct; 7(10):e1002204.
    View in: PubMed
    Score: 0.334
  2. Exploring peptide-membrane interactions with coarse-grained MD simulations. Biophys J. 2011 Apr 20; 100(8):1940-8.
    View in: PubMed
    Score: 0.322
  3. Primary and secondary dimer interfaces of the fibroblast growth factor receptor 3 transmembrane domain: characterization via multiscale molecular dynamics simulations. Biochemistry. 2014 Jan 21; 53(2):323-32.
    View in: PubMed
    Score: 0.097
  4. Role of the C-terminal domain in the structure and function of tetrameric sodium channels. Nat Commun. 2013; 4:2465.
    View in: PubMed
    Score: 0.091
  5. Multi-scale simulation of the simian immunodeficiency virus fusion peptide. J Phys Chem B. 2012 Nov 26; 116(46):13713-21.
    View in: PubMed
    Score: 0.090
  6. Coarse-grain simulations reveal movement of the synaptobrevin C-terminus in response to piconewton forces. Biophys J. 2012 Sep 05; 103(5):959-69.
    View in: PubMed
    Score: 0.089
  7. Bookshelf: a simple curation system for the storage of biomolecular simulation data. Database (Oxford). 2010; 2010:baq033.
    View in: PubMed
    Score: 0.079
  8. The energetics of transmembrane helix insertion into a lipid bilayer. Biophys J. 2010 Oct 20; 99(8):2534-40.
    View in: PubMed
    Score: 0.078
  9. Changes in transmembrane helix alignment by arginine residues revealed by solid-state NMR experiments and coarse-grained MD simulations. J Am Chem Soc. 2010 Apr 28; 132(16):5803-11.
    View in: PubMed
    Score: 0.075
  10. Accommodation of a central arginine in a transmembrane peptide by changing the placement of anchor residues. J Phys Chem B. 2012 Nov 01; 116(43):12980-90.
    View in: PubMed
    Score: 0.022
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.