Statistically enhanced promiscuity of structurally correlated patterns.
Statistically enhanced promiscuity of structurally correlated patterns.
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统计上增强了结构相关模式的混杂性。
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
E. Shakhnovich
中科院分区：
文献类型：
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作者：
D. B. Lukatsky;E. Shakhnovich
我们预测，与具有相同平均表面密度的不相关图案相比，具有相关原子表面密度的图案具有统计上更高的混杂(更强地结合到任意图案的能力)。我们认为，这构成了蛋白质相互作用网络中高度连接蛋白质(Hub)的一般设计原则。我们为这一效应发展了一种分析理论。我们表明，我们的关键预测是一般的，并且定性地独立于原子间相互作用势的特定形式，只要它有有限的范围。
We predict that patterns with correlated surface density of atoms have statistically higher promiscuity (ability to bind stronger to an arbitrary pattern) as compared with noncorrelated patterns with the same average surface density. We suggest that this constitutes a generic design principle for highly connected proteins (hubs) in protein interaction networks. We develop an analytical theory for this effect. We show that our key predictions are generic and independent, qualitatively, on the specific form of the interatomic interaction potential, provided it has a finite range.