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A Novel Cylindrical Representation for Characterizing Intrinsic Properties of Protein Sequences.
Yu, Jia-Feng; Dou, Xiang-Hua; Wang, Hong-Bo; Sun, Xiao; Zhao, Hui-Ying; Wang, Ji-Hua.
Afiliação
  • Yu JF; †Shandong Provincial Key Laboratory of Functional Macromolecular Biophysics, Institute of Biophysics, Dezhou University, Dezhou 253023, China.
  • Dou XH; ‡State Key Laboratory of Bioelectronics, Southeast University, Nanjing 210096, China.
  • Wang HB; †Shandong Provincial Key Laboratory of Functional Macromolecular Biophysics, Institute of Biophysics, Dezhou University, Dezhou 253023, China.
  • Sun X; †Shandong Provincial Key Laboratory of Functional Macromolecular Biophysics, Institute of Biophysics, Dezhou University, Dezhou 253023, China.
  • Zhao HY; ‡State Key Laboratory of Bioelectronics, Southeast University, Nanjing 210096, China.
  • Wang JH; §Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland 4000, Australia.
J Chem Inf Model ; 55(6): 1261-70, 2015 Jun 22.
Article em En | MEDLINE | ID: mdl-25945398
ABSTRACT
The composition and sequence order of amino acid residues are the two most important characteristics to describe a protein sequence. Graphical representations facilitate visualization of biological sequences and produce biologically useful numerical descriptors. In this paper, we propose a novel cylindrical representation by placing the 20 amino acid residue types in a circle and sequence positions along the z axis. This representation allows visualization of the composition and sequence order of amino acids at the same time. Ten numerical descriptors and one weighted numerical descriptor have been developed to quantitatively describe intrinsic properties of protein sequences on the basis of the cylindrical model. Their applications to similarity/dissimilarity analysis of nine ND5 proteins indicated that these numerical descriptors are more effective than several classical numerical matrices. Thus, the cylindrical representation obtained here provides a new useful tool for visualizing and charactering protein sequences. An online server is available at http//biophy.dzu.edu.cn8080/CNumD/input.jsp .
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Gráficos por Computador / Proteínas / Biologia Computacional Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Gráficos por Computador / Proteínas / Biologia Computacional Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2015 Tipo de documento: Article