Qi Zhao-Hui, Li Ke-Cheng, Ma Jin-Long, Yao Yu-Hua, Liu Ling-Yun
School of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang, Republic of China.
School of Mathematics and Statistics, Hainan Normal University, Haikou, Republic of China.
Evol Bioinform Online. 2018 Jun 12;14:1176934318777755. doi: 10.1177/1176934318777755. eCollection 2018.
In this article, we propose a 3-dimensional graphical representation of protein sequences based on 10 physicochemical properties of 20 amino acids and the BLOSUM62 matrix. It contains evolutionary information and provides intuitive visualization. To further analyze the similarity of proteins, we extract a specific vector from the graphical representation curve. The vector is used to calculate the similarity distance between 2 protein sequences. To prove the effectiveness of our approach, we apply it to 3 real data sets. The results are consistent with the known evolution fact and show that our method is effective in phylogenetic analysis.
在本文中，我们基于20种氨基酸的10种物理化学性质和BLOSUM62矩阵提出了一种蛋白质序列的三维图形表示。它包含进化信息并提供直观的可视化。为了进一步分析蛋白质的相似性，我们从图形表示曲线中提取一个特定向量。该向量用于计算两个蛋白质序列之间的相似性距离。为了证明我们方法的有效性，我们将其应用于3个真实数据集。结果与已知的进化事实一致，表明我们的方法在系统发育分析中是有效的。
