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特定相互作用的信息容量

Information capacity of specific interactions.

作者信息

Huntley Miriam H, Murugan Arvind, Brenner Michael P

机构信息

Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138; Kavli Institute for Bionano Science and Technology, Harvard University, Cambridge, MA 02138;

Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138; Kavli Institute for Bionano Science and Technology, Harvard University, Cambridge, MA 02138; Physics and the James Franck Institute, University of Chicago, Chicago, IL 60637;

出版信息

Proc Natl Acad Sci U S A. 2016 May 24;113(21):5841-6. doi: 10.1073/pnas.1520969113. Epub 2016 May 6.

Abstract

Specific interactions are a hallmark feature of self-assembly and signal-processing systems in both synthetic and biological settings. Specificity between components may arise from a wide variety of physical and chemical mechanisms in diverse contexts, from DNA hybridization to shape-sensitive depletion interactions. Despite this diversity, all systems that rely on interaction specificity operate under the constraint that increasing the number of distinct components inevitably increases off-target binding. Here we introduce "capacity," the maximal information encodable using specific interactions, to compare specificity across diverse experimental systems and to compute how specificity changes with physical parameters. Using this framework, we find that "shape" coding of interactions has higher capacity than chemical ("color") coding because the strength of off-target binding is strongly sublinear in binding-site size for shapes while being linear for colors. We also find that different specificity mechanisms, such as shape and color, can be combined in a synergistic manner, giving a capacity greater than the sum of the parts.

摘要

特异性相互作用是合成和生物环境中自组装及信号处理系统的一个标志性特征。在不同情境下,从DNA杂交到形状敏感的耗竭相互作用,组件之间的特异性可能源于各种各样的物理和化学机制。尽管存在这种多样性,但所有依赖相互作用特异性的系统都在这样的限制下运行:增加不同组件的数量不可避免地会增加非靶向结合。在此,我们引入“容量”,即使用特异性相互作用可编码的最大信息量,以比较不同实验系统的特异性,并计算特异性如何随物理参数变化。使用这个框架,我们发现相互作用的“形状”编码比化学(“颜色”)编码具有更高的容量,因为对于形状而言,非靶向结合的强度在结合位点大小上呈强烈的亚线性,而对于颜色则呈线性。我们还发现,不同的特异性机制,如形状和颜色,可以以协同的方式结合,从而产生大于各部分之和的容量。

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Information capacity of specific interactions.特定相互作用的信息容量
Proc Natl Acad Sci U S A. 2016 May 24;113(21):5841-6. doi: 10.1073/pnas.1520969113. Epub 2016 May 6.

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