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Nonspecific binding limits the number of proteins in a cell and shapes their interaction networks

机译:非特异性结合会限制细胞中蛋白质的数量并影响其相互作用网络

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Multicellular organisms, from Caenorhabditis elegans to humans, have roughly the same number of protein encoding genes. We show that the need to prevent disease-causing nonspecific interactions between proteins provides a simple physical reason why organism complexity is not reflected in the number of distinct proteins. By collective evolution of the amino acid sequences of protein binding interfaces we estimate the degree of misbinding as a function of the number of distinct proteins. Protein interaction energies are calculated with an empirical, residue-specific energy function tuned for protein binding. We show that the achievable energy gap favoring specific over nonspecific binding decreases with protein number in a power-law fashion. From the fraction of proteins involved in nonspecific complexes as a function of increasing protein number and decreasing energy gap, we predict the limits these binding requirements place on the number of different proteins that can function effectively in a given cellular compartment. Remarkably, the optimization of binding interfaces favors networks in which a few proteins have many partners, and most proteins have few partners, consistent with a scale-free network topology. We conclude that nonspecific binding adds to the evolutionary pressure to develop scale-free protein-protein interaction networks.
机译:从秀丽隐杆线虫到人类,多细胞生物的蛋白质编码基因数量大致相同。我们表明防止蛋白质之间引起疾病的非特异性相互作用的需要提供了一个简单的物理原因,即为什么生物复杂性不会在不同蛋白质的数量中得到反映。通过蛋白质结合界面氨基酸序列的集体进化,我们估计错结合的程度是不同蛋白质数量的函数。蛋白质相互作用能通过针对蛋白质结合调整的经验残基比能函数来计算。我们表明,以幂律方式随着蛋白质数量的增加,有利于特异性而不是非特异性结合的可实现能隙减少。从参与非特异性复合物的蛋白质分数随蛋白质数量增加和能隙减少的函数,我们预测这些结合要求对可在给定细胞区室中有效发挥作用的不同蛋白质数量的限制。值得注意的是,结合界面的优化有利于这样的网络,在该网络中,少数蛋白质具有许多配偶体,而大多数蛋白质具有较少的配偶体,这与无标度网络拓扑结构一致。我们得出的结论是,非特异性结合增加了发展无标度蛋白质-蛋白质相互作用网络的进化压力。

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