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Development of new computational amino acid parameters for protein structure/function analysis within the resonant recognition model

机译:谐振识别模型中蛋白质结构/功能分析的新计算氨基酸参数的研制

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The Resonant Recognition Model (RRM) is a physico-mathematical model developed for analysis of protein and DNA sequences. Biological function of proteins and their 3D structures are determined by the linear sequences of amino acids. Previously, the electron-ion interaction potentials (EIIP) of amino acids have been used to determine the characteristic patterns of different proteins independent of their biological activity. In this study, the effect of various other amino acid parameters on periodicity, obtained using the RRM, were assessed. Here, we are proposing new computational amino acid parameters that could be used successfully for protein analysis instead of EIIP within the RRM.
机译:共振识别模型(RRM)是用于分析蛋白质和DNA序列的物理学模型。蛋白质的生物功能及其3D结构由氨基酸的线性序列确定。以前,氨基酸的电子离子相互作用电位(EiIP)已被用于确定不同蛋白质的特征模式,而不受其生物活性。在该研究中,评估了各种其他氨基酸参数对使用RRM获得的周期性的影响。在这里,我们提出了新的计算氨基酸参数,可成功用于蛋白质分析而不是RRM内的EIIP。

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