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  1. Dynamic allosteric networks drive adenosine A1 receptor activation and G-protein coupling

    This article has 2 authors:
    1. Miguel A Maria-Solano
    2. Sun Choi
    This article has been curated by 2 groups:
    • Curated by eLife

      eLife assessment

      The authors describe the dynamics underlying allostery of the adenosine A1 receptor, providing valuable insights into the receptor's activation pathway. The enhanced sampling molecular dynamics simulations of available structural data, followed by network analysis, reveal transient conformational states and communication between functional regions. The authors carefully state the limitations of their work, including the restricted convergence of the free energy landscape and missing water-mediated hydrogen bond coordination. Collectively, they provide a convincing framework for advancing rational design strategies of specific modulators with desired modes of action.

      [Editors' note: this was originally reviewed and assessed by Biophysics Colab]

    • Curated by Biophysics Colab

      Evaluation statement (16 June 2023)

      Maria-Solano and Choi present the dynamics underlying allostery of the adenosine A1 receptor, providing valuable insights into the receptor's activation pathway. The enhanced sampling molecular dynamics simulations of available structural data, followed by network analysis, reveal transient conformational states and communication between functional regions. The authors carefully state the limitations of their work, including the restricted convergence of the free energy landscape and missing water-mediated hydrogen bond coordination. Collectively, the findings provide a convincing framework to advance rational design strategies of specific modulators with desired modes of action.

      Biophysics Colab considers this to be a convincing study and recommends it to scientists interested in the structural dynamics, allosteric pathway activations, and free energy landscapes of GPCRs.

      (This evaluation by Biophysics Colab refers to version 5 of this preprint, which has been revised in response to peer review of versions 3 and 4.)

    Reviewed by eLife, Biophysics Colab

    This article has 5 evaluationsAppears in 6 listsLatest version Latest activity
  2. lncRNA H19/Let7b/EZH2 axis regulates somatic cell senescence

    This article has 5 authors:
    1. Manali Potnis
    2. Justin Do
    3. Olivia El Naggar
    4. Eishi Noguchi
    5. Christian Sell
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      In this manuscript, Sell et al., investigate the role of the long non-coding RNA H19 in regulating cellular senescence. Using several cell models they identify upstream and downstream effectors of H19 including let-7 and EZH2. The advances in this work include the identification of a specific cascade of factors connecting H19, senescence and the actions of rapamycin.

    Reviewed by eLife, ASAPbio crowd review

    This article has 4 evaluationsAppears in 4 listsLatest version Latest activity