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Zn-metalloprotease sequences in extremophiles

机译:极端微生物中的锌金属蛋白酶序列

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The Zn-metalloprotease family contains conserved amino acid structures such that the nucleotide fluctuation at the DNA level would exhibit correlated randomness as described by fractal dimension. A nucleotide sequence fractal dimension can be calculated from a numerical series consisting of the atomic numbers of each nucleotide. The structure's vibration modes can also be studied using a Gaussian Network Model. The vibration measure and fractal dimension values form a two-dimensional plot with a standard vector metric that can be used for comparison of structures. The preference for amino acid usage in extremophiles may suppress nucleotide fluctuations that could be analyzed in terms of fractal dimension and Shannon entropy. A protein level cold adaptation study of the thermolysin Zn-metalloprotease family using molecular dynamics simulation was reported recently and our results show that the associated nucleotide fluctuation suppression is consistent with a regression pattern generated from the sequences's fractal dimension and entropy values (R-square ~ 0.98, N =5). It was observed that cold adaptation selected for high entropy and low fractal dimension values. Extension to the Archaemetzincin M54 family in extremophiles reveals a similar regression pattern (R-square = 0.98, N = 6). It was observed that the metalloprotease sequences of extremely halophilic organisms possess high fractal dimension and low entropy values as compared with non-halophiles. The zinc atom is usually bonded to the histidine residue, which shows limited levels of vibration in the Gaussian Network Model. The variability of the fractal dimension and entropy for a given protein structure suggests that extremophiles would have evolved after mesophiles, consistent with the bias usage of non-prebiotic amino acids by extremophiles. It may be argued that extremophiles have the capacity to offer extinction protection during drastic changes in astrobiological environments.
机译:锌金属蛋白酶家族包含保守的氨基酸结构,使得DNA水平上的核苷酸波动将表现出相关的随机性,如分形维数所述。核苷酸序列的分形维数可以从由每个核苷酸的原子序数组成的数值序列计算得出。也可以使用高斯网络模型研究结构的振动模式。振动测量值和分形维数值形成带有标准矢量度量的二维图,可用于比较结构。在极端微生物中氨基酸使用的偏爱可能会抑制核苷酸波动,该波动可通过分形维数和香农熵来分析。最近报道了使用分子动力学模拟对嗜热菌蛋白酶Zn-金属蛋白酶家族进行蛋白质水平的冷适应研究,我们的结果表明,相关的核苷酸波动抑制与序列的分形维数和熵值(R平方〜 0.98,N = 5)。观察到,冷适应被选择用于高熵和低分形维值。在极端微生物中扩展到Archaemetzincin M54家族揭示了相似的回归模式(R平方= 0.98,N = 6)。观察到,与非嗜盐菌相比,极嗜盐生物的金属蛋白酶序列具有较高的分形维数和较低的熵值。锌原子通常与组氨酸残基键合,这在高斯网络模型中显示出有限的振动水平。对于给定的蛋白质结构,分形维数和熵的可变性表明嗜温菌在嗜温菌之后会进化,这与嗜温菌对非益生元氨基酸的偏向一致。可以说,极端微生物具有在天体生物学环境急剧变化的过程中提供灭绝保护的能力。

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