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JAK-STAT细胞信号通路成分的新型共谐共振(驻波)解:谱密度分布的收敛

Novel Cosic resonance (standing wave) solutions for components of the JAK-STAT cellular signaling pathway: A convergence of spectral density profiles.

作者信息

Karbowski Lukasz M, Murugan Nirosha J, Persinger Michael A

机构信息

Biomolecular Sciences Program, Bioquantum Chemistry Laboratory, Laurentian University , Sudbury, Ontario P3E 2C6, Canada.

出版信息

FEBS Open Bio. 2015 Mar 25;5:245-50. doi: 10.1016/j.fob.2015.03.004. eCollection 2015.

DOI:10.1016/j.fob.2015.03.004
PMID:25870784
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4392064/
Abstract

Cosic discovered that spectral analyses of a protein sequence after each constituent amino acid had been transformed into an appropriate pseudopotential predicted a resonant energy between interacting molecules. Several experimental studies have verified the predicted peak wavelength of photons within the visible or near-visible light band for specific molecules. Here, this concept has been applied to a classic signaling pathway, JAK-STAT, traditionally composed of nine sequential protein interactions. The weighted linear average of the spectral power density (SPD) profiles of each of the eight "precursor" proteins displayed remarkable congruence with the SPD profile of the terminal molecule (CASP-9) in the pathway. These results suggest that classic and complex signaling pathways in cells can also be expressed as combinations of resonance energies.

摘要

科西克发现,在每个组成氨基酸被转化为适当的伪势后,对蛋白质序列进行光谱分析,预测了相互作用分子之间的共振能量。多项实验研究已经验证了特定分子在可见光或近可见光波段内预测的光子峰值波长。在此,这一概念已应用于传统上由九个连续蛋白质相互作用组成的经典信号通路——JAK-STAT。该通路中八个“前体”蛋白质各自的光谱功率密度(SPD)谱的加权线性平均值与末端分子(半胱天冬酶-9)的SPD谱显示出显著的一致性。这些结果表明,细胞中的经典和复杂信号通路也可以表示为共振能量的组合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a1a/4392064/e9c246bb0df2/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a1a/4392064/172b95d2cf16/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a1a/4392064/666fd5b5972f/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a1a/4392064/714e7f9d4ff4/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a1a/4392064/c92c718af5cb/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a1a/4392064/e9c246bb0df2/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a1a/4392064/172b95d2cf16/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a1a/4392064/666fd5b5972f/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a1a/4392064/714e7f9d4ff4/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a1a/4392064/c92c718af5cb/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8a1a/4392064/e9c246bb0df2/gr5.jpg

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