...
首页> 外文期刊>Open Journal of Biophysics >Cosic’s Resonance Recognition Model for Protein Sequences and Photon Emission Differentiates Lethal and Non-Lethal Ebola Strains: Implications for Treatment
【24h】

Cosic’s Resonance Recognition Model for Protein Sequences and Photon Emission Differentiates Lethal and Non-Lethal Ebola Strains: Implications for Treatment

机译:Cosic的蛋白质序列和光子发射共振识别模型可区分致死性和非致死性埃博拉病毒株:治疗意义

获取原文
           

摘要

The Cosic Resonance Recognition Model (RRM) for amino acid sequences was applied to the classes of proteins displayed by four strains (Sudan, Zaire, Reston, Ivory Coast) of Ebola virus that produced either high or minimal numbers of human fatalities. The results clearly differentiated highly lethal and non-lethal strains. Solutions for the two lethal strains exhibited near ultraviolet (~230 nm) photon values while the two asymptomatic forms displayed near infrared (~1000 nm) values. Cross-correlations of spectral densities of the RRM values of the different classes of proteins associated with the genome of the viruses supported this dichotomy. The strongest coefficient occurred only between Sudan-Zaire strains but not for any of the other pairs of strains for sGP, the small glycoprotein that intercalated with the plasma cell membrane to promote insertion of viral contents into cellular space. A surprising, statistically significant cross-spectral correlation occurred between the “spike” glycoprotein component (GP1) of the virus that associated the anchoring of the virus to the mammalian cell plasma membrane and the Schumann resonance of the earth whose intensities were determined by the incidence of equatorial thunderstorms. Previous applications of the RRM to shifting photon wavelengths emitted by melanoma cells adapting to reduced ambient temperature have validated Cosic’s model and have demonstrated very narrowwave-length (about 10 nm) specificity. One possible ancillary and non-invasive treatment of people within which the fatal Ebola strains are residing would be whole body application of narrow band near-infrared light pulsed as specific physiologically-patterned sequences with sufficient radiant flux density to perfuse the entire body volume.
机译:氨基酸序列的Cosic共振识别模型(RRM)被应用于四种埃博拉病毒株(苏丹,扎伊尔,雷斯顿,科特迪瓦)展示的蛋白质类别,这些病毒产生大量或最小数量的人类死亡。结果清楚地区分了高致死性和非致死性菌株。两种致命菌株的溶液显示出近紫外(〜230 nm)的光子值,而两种无症状形式显示出近红外(〜1000 nm)的值。与病毒基因组相关的不同类别蛋白质的RRM值的光谱密度的光谱相关性支持这种二分法。最强的系数仅出现在苏丹-扎伊尔菌株之间,而其他任何对sGP的菌株都没有,sGP是sGP的小糖蛋白,它与质膜结合,促进病毒内容物插入细胞间隙。在该病毒的“尖峰”糖蛋白成分(GP1)和将其锚定于哺乳动物细胞质膜的病毒的“舒曼”共振之间发生了惊人的,统计学上显着的互谱相关性赤道雷暴。 RRM先前在适应适应降低的环境温度的黑素瘤细胞发射的光子波长变化中的应用已经验证了Cosic模型,并证明了非常窄的波长(约10 nm)特异性。对致命埃博拉病毒株所在的人群的一种可能的辅助和非侵入性治疗方法是,对整个人体应用窄带近红外光,这些光以特定的生理学模式序列脉动,并具有足够的辐射通量密度以灌注整个人体体积。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号