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  1. Data for V. Erastova, M. T. Degiacomi et al., Nature Communications [Download]

    Title: Data for V. Erastova, M. T. Degiacomi et al., Nature Communications
    Contributors: Creator: Erastova, Valentina (Durham University, UK)
    Contact person: Erastova, Valentina (Durham University, UK)
    Data collector: Erastova, Valentina (Durham University, UK)
    Data curator: Erastova, Valentina (Durham University, UK)
    Editor: Erastova, Valentina (Durham University, UK)
    Creator: Degiacomi, Matteo T (Durham University, UK)
    Contact person: Degiacomi, Matteo T (Durham University, UK)
    Data collector: Degiacomi, Matteo T (Durham University, UK)
    Data curator: Degiacomi, Matteo T (Durham University, UK)
    Editor: Degiacomi, Matteo T (Durham University, UK)
    Creator: Fraser, Donald (University of Oxford, UK)
    Creator: Greenwell, H Chris (Durham University, UK)
    Contact person: Greenwell, H Chris (Durham University, UK)
    Description: This work shows that layered double hydroxides, a type of clay little studied despite its presumed prevalence on the early Earth, can facilitate the formation of small proteins. The archive includes data extracted from molecular dynamics simulations, and analysis scripts generating the article's figures.
    Keywords: molecular modelling, clay, origins of life, layered double hydroxides, molecular dynamics
    Date Uploaded: 10 November 2017
  2. Data and Software for Degiacomi et al, Structure, 2017 [Download]

    Title: Data and Software for Degiacomi et al, Structure, 2017
    Contributors: Creator: Degiacomi, Matteo T. (Durham University, UK)
    Contact person: Degiacomi, Matteo T. (Durham University, UK)
    Data collector: Degiacomi, Matteo T. (Durham University, UK)
    Data curator: Degiacomi, Matteo T. (Durham University, UK)
    Creator: Benesch, Justin L. P. (University of Oxford, UK)
    Contact person: Benesch, Justin L. P. (University of Oxford, UK)
    Creator: Schmidt, Carla (Martin Luther University Halle-Wittenberg, Germany)
    Creator: Baldwin, Andrew J. (University of Oxford, UK)
    Description: Data and Software supporting Degiacomi et al study about a new method and associated software, DynamXL, that accommodates intrinsic protein dynamics in the modelling of cross-linking data. This approach substantially reduces error rates, leading to higher confidence in structure assessment and improved protein-protein docking.
    Keywords: cross-linking, molecular modelling, protein docking, mass spectrometry, computational structural biology
    Date Uploaded: 12 October 2017