首页> 外文期刊>Journal of Agricultural and Food Chemistry >Quantitative structure-activity relationship modeling of peptide and protein behavior as a function of amino acid composition.
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Quantitative structure-activity relationship modeling of peptide and protein behavior as a function of amino acid composition.

机译:肽和蛋白质行为作为氨基酸组成函数的定量构效关系模型。

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A quantitative structure-activity relationship (QSAR) modeling approach based on the location of each amino acid along three axes obtained by principal component analysis (called z scores) was extended to physical and functional properties of proteins, where the proportion of particular amino acids rather than a precise sequence is the determining factor. Coomassie Brilliant Blue spectral responses to amino acid homopolymers (R = 0.926) and proteins, either as a function of their contents of six basic and aromatic amino acids (R = 0.976) or as a function of the contributions of these amino acids to the three z scores (R = 0.935), were modeled. The ultraviolet absorbance of proteins was modeled in terms of the z score contributions of tyrosine, tryptophan, and cysteine (R = 0.995). Modeling many protein functional properties in this manner appears to be possible. An approach to modeling peptide behaviors that depend on short sequences of amino acids was also considered.
机译:基于通过主成分分析获得的每个氨基酸在三个轴上的位置(称为z评分)的定量构效关系(QSAR)建模方法已扩展到蛋白质的物理和功能特性,其中特定氨基酸的比例相当比精确序列更是决定因素。考马斯亮蓝对氨基酸均聚物(R = 0.926)和蛋白质的光谱响应,取决于它们的六个碱性和芳香族氨基酸含量(R = 0.976)或取决于这些氨基酸对三个氨基酸的贡献z得分(R = 0.935)已建模。根据酪氨酸,色氨酸和半胱氨酸的z分数贡献对蛋白质的紫外线吸收进行建模(R = 0.995)。以这种方式对许多蛋白质功能特性进行建模似乎是可能的。还考虑了一种建模肽行为的方法,该行为取决于氨基酸的短序列。

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