3-D maps and coupling numbers for protein sequences

被引:41
作者
Li, Chun [1 ]
Yu, Xiaoqing [1 ]
Yang, Liu [1 ]
Zheng, Xiaoqi [2 ]
Wang, Zhifu [1 ]
机构
[1] Bohai Univ, Dept Math, Jinzhou 121013, Peoples R China
[2] Dalian Univ Technol, Dept Appl Math, Dalian 116024, Peoples R China
基金
中国国家自然科学基金;
关键词
Protein; Graphical representation; Coupling numbers; Similarity; 2-D GRAPHICAL REPRESENTATION; CHAOS-GAME REPRESENTATION; DNA PRIMARY SEQUENCES; ARC REPRESSOR MUTANTS; NUMERICAL CHARACTERIZATION; MOLECULAR DESCRIPTORS; QSAR; PREDICTION; RECOGNITION; DEGENERACY;
D O I
10.1016/j.physa.2009.01.017
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Based on a five-letter model of the 20 amino acids, we propose a new 3-D graphical representation of protein sequence. Then we derive from the graphical representation. numerical indices called 3-D coupling numbers, to characterize protein sequences. The examination of the similarities/dissimilarities among the beta-globin proteins of 15 species illustrates the utility of the approach. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:1967 / 1972
页数:6
相关论文
共 42 条
[1]   MMM-QSAR recognition of ribonucleases without alignment:: Comparison with an HMM model and isolation from Schizosaccharomyces pombe, prediction, and experimental assay of a new sequence [J].
Agueero-Chapin, Guillemin ;
Gonzalez-Diaz, Humberto ;
de la Riva, Gustavo ;
Rodriguez, Edrey ;
Sanchez-Rodriguez, Aminael ;
Podda, Gianni ;
Vazquez-Padron, Roberto I. .
JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2008, 48 (02) :434-448
[2]   Novel 2D maps and coupling numbers for protein sequences.: The first QSAR study of polygalacturonases;: isolation and prediction of a novel sequence from Psidium guajava']java L. [J].
Agüero-Chapin, GA ;
González-Díaz, H ;
Molina, R ;
Varona-Santos, J ;
Uriarte, E ;
González-Díaz, Y .
FEBS LETTERS, 2006, 580 (03) :723-730
[3]   Distribution moments of 2D-graphs as descriptors of DNA sequences [J].
Bielinska-Waz, Dorota ;
Nowak, Wieslaw ;
Waz, Piotr ;
Nandy, Ashesh ;
Clark, Timothy .
CHEMICAL PHYSICS LETTERS, 2007, 443 (4-6) :408-413
[4]   Support vector machines for predicting rRNA-, RNA-, and DNA-binding proteins from amino acid sequence [J].
Cai, YD ;
Lin, SL .
BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS, 2003, 1648 (1-2) :127-133
[5]   AMINO-ACID SIDE-CHAIN DESCRIPTORS FOR QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP STUDIES OF PEPTIDE ANALOGS [J].
COLLANTES, ER ;
DUNN, WJ .
JOURNAL OF MEDICINAL CHEMISTRY, 1995, 38 (14) :2705-2713
[6]   Markovian backbone negentropies:: Molecular descriptors for protein research.: I.: Predicting protein stability in arc repressor mutants [J].
de Armas, RR ;
Díaz, HG ;
Molina, R ;
Uriarte, E .
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS, 2004, 56 (04) :715-723
[7]   HP-Lattice QSAR for dynein proteins:: Experimental proteomics (2D-electrophoresis, mass spectrometry) and theoretic study of a Leishmania infantum sequence [J].
Dea-Ayuela, Maria Auxiliadora ;
Perez-Castillo, Yunierkis ;
Meneses-Marcel, Alfredo ;
Ubeira, Florencio M. ;
Bolas-Fernandez, Francisco ;
Chou, Kuo-Chen ;
Gonzalez-Diaz, Humberto .
BIOORGANIC & MEDICINAL CHEMISTRY, 2008, 16 (16) :7770-7776
[8]   A graphic representation of protein sequence and predicting the subcellular locations of prokaryotic proteins [J].
Feng, ZP ;
Zhang, CT .
INTERNATIONAL JOURNAL OF BIOCHEMISTRY & CELL BIOLOGY, 2002, 34 (03) :298-307
[9]   A SIMPLE WAY TO LOOK AT DNA [J].
GATES, MA .
JOURNAL OF THEORETICAL BIOLOGY, 1986, 119 (03) :319-328
[10]   Stochastic molecular descriptors for polymers.: 2.: Spherical truncation of electrostatic interactions on entropy based polymers 3D-QSAR [J].
González-Díaz, H ;
Saíz-Urra, L ;
Molina, R ;
Uriarte, E .
POLYMER, 2005, 46 (08) :2791-2798