The computational capabilities of many-to-many protein interaction networks.

IF 9 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Cell Systems Pub Date : 2023-06-21 DOI:10.1016/j.cels.2023.05.001
Heidi E Klumpe, Jordi Garcia-Ojalvo, Michael B Elowitz, Yaron E Antebi
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Abstract

Many biological circuits comprise sets of protein variants that interact with one another in a many-to-many, or promiscuous, fashion. These architectures can provide powerful computational capabilities that are especially critical in multicellular organisms. Understanding the principles of biochemical computations in these circuits could allow more precise control of cellular behaviors. However, these systems are inherently difficult to analyze, due to their large number of interacting molecular components, partial redundancies, and cell context dependence. Here, we discuss recent experimental and theoretical advances that are beginning to reveal how promiscuous circuits compute, what roles those computations play in natural biological contexts, and how promiscuous architectures can be applied for the design of synthetic multicellular behaviors.

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多对多蛋白质相互作用网络的计算能力。
许多生物电路由一组蛋白质变体组成,这些变体以多对多或杂交的方式相互影响。这些结构可以提供强大的计算能力,这在多细胞生物体中尤为重要。了解这些电路中的生化计算原理可以更精确地控制细胞行为。然而,由于存在大量相互作用的分子成分、部分冗余和细胞上下文依赖性,这些系统本身很难分析。在这里,我们将讨论最近在实验和理论方面取得的进展,这些进展开始揭示杂交电路是如何计算的、这些计算在自然生物环境中扮演什么角色,以及如何将杂交架构应用于合成多细胞行为的设计。
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来源期刊
Cell Systems
Cell Systems Medicine-Pathology and Forensic Medicine
CiteScore
16.50
自引率
1.10%
发文量
84
审稿时长
42 days
期刊介绍: In 2015, Cell Systems was founded as a platform within Cell Press to showcase innovative research in systems biology. Our primary goal is to investigate complex biological phenomena that cannot be simply explained by basic mathematical principles. While the physical sciences have long successfully tackled such challenges, we have discovered that our most impactful publications often employ quantitative, inference-based methodologies borrowed from the fields of physics, engineering, mathematics, and computer science. We are committed to providing a home for elegant research that addresses fundamental questions in systems biology.
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