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Connection

Themis Lazaridis to Humans

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

0.287
  1. 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: 0.044
  2. Dutta A, Sepehri A, Lazaridis T. Putative Pore Structures of Amyloid ? 25-35 in Lipid Bilayers. Biochemistry. 2023 09 05; 62(17):2549-2558.
    View in: PubMed
    Score: 0.043
  3. 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: 0.041
  4. 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: 0.038
  5. 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: 0.038
  6. Nepal B, Sepehri A, Lazaridis T. Mechanisms of negative membrane curvature sensing and generation by ESCRT III subunit Snf7. Protein Sci. 2020 06; 29(6):1473-1485.
    View in: PubMed
    Score: 0.034
  7. 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: 0.020
  8. Zhang J, Lazaridis T. Transmembrane helix association affinity can be modulated by flanking and noninterfacial residues. Biophys J. 2009 Jun 03; 96(11):4418-27.
    View in: PubMed
    Score: 0.016
  9. Lazaridis T, Karplus M. Thermodynamics of protein folding: a microscopic view. Biophys Chem. 2003; 100(1-3):367-95.
    View in: PubMed
    Score: 0.010
  10. 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: 0.004
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.
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