Chaos game representation of proteins
Chaos game representation of proteins
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DOI：
10.1016/s1093-3263(97)00106-x
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发表时间：
1997-10-01
影响因子：
2.9
通讯作者：
Das, J
中科院分区：
文献类型：
--
作者：
Basu, S;Pan, A;Das, J
本报告提出了一种新的方法的混沌游戏表示（CGR）的不同家族的蛋白质。使用属于特定家族的蛋白质的串联氨基酸序列和12边正多边形，其每个顶点代表导致保守取代的一组氨基酸残基，该方法可以生成该家族的CGR，并允许表征该家族的图案的图形表示。在CGR（网格点）的不同部分绘制的点的百分比的估计允许量化的非随机性生成的CGR模式。不同蛋白质家族的CGR表现出不同的视觉可识别的模式。这意味着不同的功能类别的蛋白质遵循特定的统计偏差分布的不同的单，二，三，或更高级的肽沿着其主要序列。网格计数作为一个家庭的蛋白质的歧视和诊断签名的潜力进行了讨论。(C)1998年，Elsevier Science Inc.
The present report proposes a new method for the chaos game representation (CGR) of different families of proteins. Using concatenated amino acid sequences of proteins belonging to a particular family and a 12-sided regular polygon, each vertex of which represents a group of amino acid residues leading to conservative substitutions, the method can generate the CGR of the family and allows pictorial representation of the pattern characterizing the family. An estimation of the percentages of points plotted in different segments of the CGR (grid points) allows quantification of the nonrandomness of the CGR patterns generated. The CGRs of different protein families exhibited distinct visually identifiable patterns. This implies that different functional classes of proteins follow specific statistical biases in the distribution of different mono-, di-, tri-, or higher order peptides along their primary sequences. The potential of grid counts as the discriminative and diagnostic signature of a family of proteins is discussed. (C) 1998 by Elsevier Science Inc.