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Understanding the cell: future views of structural biology

  • 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.

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Author:Martin BeckORCiDGND, Roberto CovinoORCiD, Inga HäneltORCiDGND, Michaela Müller-McNicollORCiD
URN:urn:nbn:de:hebis:30:3-828858
DOI:https://doi.org/10.1016/j.cell.2023.12.017
ISSN:0092-8674
Parent Title (English):Cell
Publisher:Elsevier
Place of publication:New York, NY
Document Type:Article
Language:English
Date of Publication (online):2024/02/01
Date of first Publication:2024/02/01
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2024/03/07
Tag:cellular self-organization; computational modeling; digital twin; structural biology
Volume:187
Issue:3
Page Number:18
First Page:545
Last Page:562
Institutes:Biochemie, Chemie und Pharmazie / Biochemie und Chemie
Biowissenschaften / Biowissenschaften
Wissenschaftliche Zentren und koordinierte Programme / Frankfurt Institute for Advanced Studies (FIAS)
Angeschlossene und kooperierende Institutionen / MPI für Biophysik
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
Sammlungen:Universitätspublikationen
Licence (German):License LogoCreative Commons - Namensnennung 4.0