生物系统中空间计算的工程实现

IF 6 2区生物学 Q1 CELL BIOLOGY

Seminars in cell & developmental biology Pub Date : 2025-07-24 DOI:10.1016/j.semcdb.2025.103631

Soutrick Das , Jurgen Riedel , Kathleen JY. Zhang , Alice Cook, Chris P. Barnes

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引用次数: 0

摘要

通过利用自然细胞过程进行复杂的信息处理，生物计算领域取得了显著进展。这篇综述探讨了空间分布和划分框架的工程生物计算如何超越传统的单细胞逻辑系统。通过模拟自然现象，如形态梯度和细胞分隔，合成空间计算系统具有实现可扩展性、鲁棒性和适应性的潜力。通过整合空间计算和自适应计算，合成生物学可以解决超越传统计算架构的复杂计算挑战，为新型治疗、环境和诊断工具铺平道路。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Engineered implementations of spatial computation in biological systems

The field of biological computation has advanced significantly by leveraging natural cellular processes for sophisticated information processing. This review explores how spatially distributed and compartmentalised frameworks for engineered biological computation move beyond traditional single-cell logic systems. By emulating natural phenomena such as morphogen gradients and cellular compartmentalisation, synthetic spatial computing systems have the potential to achieve scalability, robustness, and adaptability. By integrating spatial and adaptive computation, synthetic biology can tackle complex computational challenges that move beyond traditional computing architectures, paving the way for novel therapeutic, environmental, and diagnostic tools.

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来源期刊

Seminars in cell & developmental biology 生物-发育生物学

CiteScore

15.10

自引率

1.40%

发文量

310

审稿时长

9.1 weeks

期刊介绍： Seminars in Cell and Developmental Biology is a review journal dedicated to keeping scientists informed of developments in the field of molecular cell and developmental biology, on a topic by topic basis. Each issue is thematic in approach, devoted to an important topic of interest to cell and developmental biologists, focusing on the latest advances and their specific implications. The aim of each issue is to provide a coordinated, readable, and lively review of a selected area, published rapidly to ensure currency.