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PROTEIN COVARIANCE NETWORKS REVEAL INTERACTIONS IMPORTANT TO THE EMERGENCE OF SARS CORONAVIRUSES AS HUMAN PATHOGENS

机译:蛋白质协方差网络揭示了对人类病原体的SARS冠状病毒出现的相互作用

摘要

The methods and compositions provided herein, relate in part, to the discovery of conserved interactions between amino acid residues in all proteins encoded by SARS-CoV-related viruses. Accordingly, pairs and networks of residue variants that exhibited statistically high frequencies of covariance with each other can be used as a new computational approach (Covariance-based Phylogeny Analysis) for understanding viral evolution and adaptation. Provided herein is evidence that the evolutionary processes that converted a bat virus into a human pathogen occurred through recombination with other viruses in combination with new adaptive mutations important for entry into human cells.
机译:本文提供的方法和组合物部分地涉及发现由SARS-COV相关病毒编码的所有蛋白质中的氨基酸残基之间的保守相互作用。 因此,彼此呈现统计变体的对残留变体的对和网络可以用作理解病毒演化和适应的新的计算方法(基于协方便的系统发育分析)。 本文提供了证据表明,通过与其他病毒的重组与其他用于进入人细胞的新的适应性突变,将蝙蝠病毒转化为人病原体中的进化过程。

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