生物
功能(生物学)
计算生物学
数据科学
细胞生物学
计算机科学
作者
Martin Beck,Roberto Covino,Inga Hänelt,Michaela Müller-McNicoll
出处
期刊:Cell
[Cell Press]
日期:2024-02-01
卷期号:187 (3): 545-562
被引量:20
标识
DOI:10.1016/j.cell.2023.12.017
摘要
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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