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Novel Method of 3-Dimensional Graphical Representation for Proteins and Its Application.
Qi, Zhao-Hui; Li, Ke-Cheng; Ma, Jin-Long; Yao, Yu-Hua; Liu, Ling-Yun.
Afiliação
  • Qi ZH; School of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang, Republic of China.
  • Li KC; School of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang, Republic of China.
  • Ma JL; School of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang, Republic of China.
  • Yao YH; School of Mathematics and Statistics, Hainan Normal University, Haikou, Republic of China.
  • Liu LY; School of Information Science and Technology, Shijiazhuang Tiedao University, Shijiazhuang, Republic of China.
Evol Bioinform Online ; 14: 1176934318777755, 2018.
Article em En | MEDLINE | ID: mdl-29977111
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.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Evol Bioinform Online Ano de publicação: 2018 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Evol Bioinform Online Ano de publicação: 2018 Tipo de documento: Article País de afiliação: China