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Understanding the cell: Future views of structural biology

Beck, Martin ; Covino, Roberto ; Hänelt, Inga ; Müller-McNicoll, Michaela

Cell, 2024-02, Vol.187 (3), p.545-562 [Periódico revisado por pares]

United States: Elsevier Inc

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  • Título:
    Understanding the cell: Future views of structural biology
  • Autor: Beck, Martin ; Covino, Roberto ; Hänelt, Inga ; Müller-McNicoll, Michaela
  • Assuntos: Biology ; cellular self-organization ; Computational Biology ; computational modeling ; digital twin ; Macromolecular Substances - chemistry ; structural biology
  • É parte de: Cell, 2024-02, Vol.187 (3), p.545-562
  • Notas: ObjectType-Article-2
    SourceType-Scholarly Journals-1
    ObjectType-Feature-3
    content type line 23
    ObjectType-Review-1
  • Descrição: Determining the structure and mechanisms of all individual functional modules of cells at high molecular detail has often been seen as equal to understanding how cells work. Recent technical advances have led to a flush of high-resolution structures of various macromolecular machines, but despite this wealth of detailed information, our understanding of cellular function remains incomplete. Here, we discuss present-day limitations of structural biology and highlight novel technologies that may enable us to analyze molecular functions directly inside cells. We predict that the progression toward structural cell biology will involve a shift toward conceptualizing a 4D virtual reality of cells using digital twins. These will capture cellular segments in a highly enriched molecular detail, include dynamic changes, and facilitate simulations of molecular processes, leading to novel and experimentally testable predictions. Transferring biological questions into algorithms that learn from the existing wealth of data and explore novel solutions may ultimately unveil how cells work. The limits of the main techniques used in structural biology and the concept of cellular self-organization are reviewed in this article; a perspective of simulating cells in virtual reality that would extend structural biology to understanding cell biology is shared.
  • Editor: United States: Elsevier Inc
  • Idioma: Inglês
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