Selected article for: "sequence variant and variant sequence"

Author: Megan C. Cohan; Ammon E. Posey; Steven J. Grigsby; Anuradha Mittal; Alex S. Holehouse; Paul J. Buske; Petra A. Levin; Rohit V. Pappu
Title: Evolved sequence features within the intrinsically disordered tail influence FtsZ assembly and bacterial cell division
  • Document date: 2018_4_14
  • ID: 2rzfuy33_102
    Snippet: shapes (δ * ). Results for the six designed CTT variants are shown in Figure S2A . In the simulations, each CTT variant was modeled as an autonomous unit. Each sub-panel in Figure S2A shows the sequence-specific two-dimensional histogram of shapes, quantified in terms of asphericity values (δ * ) and sizes calculated in terms of radii of gyration (R g ). In each sub-panel, the abscissa is divided into nine equal intervals with the boundaries .....
    Document: shapes (δ * ). Results for the six designed CTT variants are shown in Figure S2A . In the simulations, each CTT variant was modeled as an autonomous unit. Each sub-panel in Figure S2A shows the sequence-specific two-dimensional histogram of shapes, quantified in terms of asphericity values (δ * ) and sizes calculated in terms of radii of gyration (R g ). In each sub-panel, the abscissa is divided into nine equal intervals with the boundaries δ * < 0.33, 0.33 ≤ δ * ≤ 0.66, δ * > 0.66 and 10 Å ≤ R g ≤ 23 Å, 23 Å ≤ R g < 36 Å, and 36 Å ≤ R g ≤ 50 Å. (E) Plot of the Shann entropy (s) versus D for the WT CTT and each of the designed CTT variants. The Shannon entropy s for each sequence variant is calculated as: s = −n −1 p R g,i δ j

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