The University of Chicago Header Logo

Connection

Ben Hall to Models, Molecular

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

0.919
  1. Constructing and Analyzing Computational Models of Cell Signaling with BioModelAnalyzer. Curr Protoc Bioinformatics. 2020 03; 69(1):e95.
    View in: PubMed
    Score: 0.529
  2. Characterization of protein conformational states by normal-mode frequencies. J Am Chem Soc. 2007 Sep 19; 129(37):11394-401.
    View in: PubMed
    Score: 0.222
  3. Mechanism of bacterial signal transduction revealed by molecular dynamics of Tsr dimers and trimers of dimers in lipid vesicles. PLoS Comput Biol. 2012; 8(9):e1002685.
    View in: PubMed
    Score: 0.079
  4. 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: 0.022
  5. A helix heterodimer in a lipid bilayer: prediction of the structure of an integrin transmembrane domain via multiscale simulations. Structure. 2011 Oct 12; 19(10):1477-84.
    View in: PubMed
    Score: 0.018
  6. Simulations of a protein translocation pore: SecY. Biochemistry. 2006 Oct 31; 45(43):13018-24.
    View in: PubMed
    Score: 0.013
  7. Conformational dynamics of M2 helices in KirBac channels: helix flexibility in relation to gating via molecular dynamics simulations. Biochemistry. 2005 Nov 08; 44(44):14586-94.
    View in: PubMed
    Score: 0.012
  8. Conformational dynamics of the ligand-binding domain of inward rectifier K channels as revealed by molecular dynamics simulations: toward an understanding of Kir channel gating. Biophys J. 2005 May; 88(5):3310-20.
    View in: PubMed
    Score: 0.012
  9. Dynamite: a simple way to gain insight into protein motions. Acta Crystallogr D Biol Crystallogr. 2004 Dec; 60(Pt 12 Pt 1):2280-7.
    View in: PubMed
    Score: 0.011
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.