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Connection

Themis Lazaridis to Cell Membrane

This is a "connection" page, showing publications Themis Lazaridis has written about Cell Membrane.
Connection Strength

5.970
  1. Nepal B, Sepehri A, Lazaridis T. Mechanism of negative membrane curvature generation by I-BAR domains. Structure. 2021 12 02; 29(12):1440-1452.e4.
    View in: PubMed
    Score: 0.676
  2. Pino-Angeles A, Lazaridis T. Effects of Peptide Charge, Orientation, and Concentration on Melittin Transmembrane Pores. Biophys J. 2018 06 19; 114(12):2865-2874.
    View in: PubMed
    Score: 0.540
  3. Nepal B, Leveritt J, Lazaridis T. Membrane Curvature Sensing by Amphipathic Helices: Insights from Implicit Membrane Modeling. Biophys J. 2018 05 08; 114(9):2128-2141.
    View in: PubMed
    Score: 0.536
  4. Lipkin R, Lazaridis T. Computational studies of peptide-induced membrane pore formation. Philos Trans R Soc Lond B Biol Sci. 2017 Aug 05; 372(1726).
    View in: PubMed
    Score: 0.508
  5. Brice AR, Lazaridis T. Structure and dynamics of a fusion peptide helical hairpin on the membrane surface: comparison of molecular simulations and NMR. J Phys Chem B. 2014 May 01; 118(17):4461-70.
    View in: PubMed
    Score: 0.405
  6. Lazaridis T, Leveritt JM, PeBenito L. Implicit membrane treatment of buried charged groups: application to peptide translocation across lipid bilayers. Biochim Biophys Acta. 2014 Sep; 1838(9):2149-59.
    View in: PubMed
    Score: 0.399
  7. He Y, Lazaridis T. Activity determinants of helical antimicrobial peptides: a large-scale computational study. PLoS One. 2013; 8(6):e66440.
    View in: PubMed
    Score: 0.381
  8. Yuzlenko O, Lazaridis T. Membrane protein native state discrimination by implicit membrane models. J Comput Chem. 2013 Apr 05; 34(9):731-8.
    View in: PubMed
    Score: 0.368
  9. Prieto L, Lazaridis T. Computational studies of colicin insertion into membranes: the closed state. Proteins. 2011 Jan; 79(1):126-41.
    View in: PubMed
    Score: 0.317
  10. Mihajlovic M, Lazaridis T. Modeling fatty acid delivery from intestinal fatty acid binding protein to a membrane. Protein Sci. 2007 Sep; 16(9):2042-55.
    View in: PubMed
    Score: 0.254
  11. Zhang J, Lazaridis T. Calculating the free energy of association of transmembrane helices. Biophys J. 2006 Sep 01; 91(5):1710-23.
    View in: PubMed
    Score: 0.235
  12. Lazaridis T. Implicit solvent simulations of peptide interactions with anionic lipid membranes. Proteins. 2005 Feb 15; 58(3):518-27.
    View in: PubMed
    Score: 0.214
  13. Maurer M, Lazaridis T. Transmembrane ?-Barrel Models of a-Synuclein Oligomers. J Chem Inf Model. 2023 11 27; 63(22):7171-7179.
    View in: PubMed
    Score: 0.196
  14. Vasquez Rodriguez SY, Lazaridis T. Simulations suggest a scaffolding mechanism of membrane deformation by the caveolin 8S complex. Biophys J. 2023 10 17; 122(20):4082-4090.
    View in: PubMed
    Score: 0.194
  15. Sepehri A, Lazaridis T. Putative Structures of Membrane-Embedded Amyloid ? Oligomers. ACS Chem Neurosci. 2023 01 04; 14(1):99-110.
    View in: PubMed
    Score: 0.184
  16. Sepehri A, Nepal B, Lazaridis T. Distinct Modes of Action of IAPP Oligomers on Membranes. J Chem Inf Model. 2021 09 27; 61(9):4645-4655.
    View in: PubMed
    Score: 0.169
  17. Lipkin R, Pino-Angeles A, Lazaridis T. Transmembrane Pore Structures of ?-Hairpin Antimicrobial Peptides by All-Atom Simulations. J Phys Chem B. 2017 10 05; 121(39):9126-9140.
    View in: PubMed
    Score: 0.128
  18. Lipkin RB, Lazaridis T. Implicit Membrane Investigation of the Stability of Antimicrobial Peptide ?-Barrels and Arcs. J Membr Biol. 2015 Jun; 248(3):469-86.
    View in: PubMed
    Score: 0.105
  19. Lazaridis T, He Y, Prieto L. Membrane interactions and pore formation by the antimicrobial peptide protegrin. Biophys J. 2013 Feb 05; 104(3):633-42.
    View in: PubMed
    Score: 0.093
  20. Hajjar E, Mihajlovic M, Witko-Sarsat V, Lazaridis T, Reuter N. Computational prediction of the binding site of proteinase 3 to the plasma membrane. Proteins. 2008 Jun; 71(4):1655-69.
    View in: PubMed
    Score: 0.067
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.
RCMI CC is supported by the National Institute on Minority Health and Health Disparities, National Institutes of Health (NIH), through Grant Number U24MD015970. The contents of this site are solely the responsibility of the authors and do not necessarily represent the official views of the NIH

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