Suppr超能文献

蛋白质三维图形表示的新方法及其应用

Novel Method of 3-Dimensional Graphical Representation for Proteins and Its Application.

作者信息

Qi Zhao-Hui, Li Ke-Cheng, Ma Jin-Long, Yao Yu-Hua, Liu Ling-Yun

机构信息

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.

出版信息

Evol Bioinform Online. 2018 Jun 12;14:1176934318777755. doi: 10.1177/1176934318777755. eCollection 2018.

Abstract

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.

摘要

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。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验