Alignment-free prediction of polygalacturonases with pseudofolding topological indices: Experimental isolation from coffea arabica and prediction of a new sequence

Journal of Proteome Research

Volumn 8, Issue 4, 2009, Pages 2122-2128

  Agüero Chapin, Guillermín ^a,b,c,d   Varona Santos, Javier ^e   De La Riva, Gustavo A ^f   Antunes, Agostinho ^d   González Villa, Tomás ^a   Uriarte, Eugenio ^a   González Díaz, Humberto ^a  

^a UNIVERSITY OF SANTIAGO DE COMPOSTELA   (Spain)

^b CENTRAL UNIVERSITY OF LAS VILLAS   (Cuba)

^c CIMAR

^d UNIVERSITY OF PORTO   (Portugal)

^e MIAMI UNIVERSITY   (United States)

^f Instituto Superior Tecnológico de Salvatierra ITESS   (Mexico)

Author keywords

Artificial neural networks; Bacterial; Entropy; Markov models; Nematode; Polygalacturonases of plant; Protein folding lattice networks; QSAR; Spectral moments; Topological indices

Indexed keywords

POLYGALACTURONASE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; COFFEE; ENTROPY; PREDICTION; PRIORITY JOURNAL; PROTEIN DETERMINATION; PROTEIN FOLDING; PROTEIN ISOLATION; SEQUENCE ALIGNMENT; SPECTRUM; VALIDATION PROCESS;

COFFEA; COMPUTER SIMULATION; PLANT PROTEINS; POLYGALACTURONASE; PROTEIN FOLDING; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

BACTERIA (MICROORGANISMS); COFFEA ARABICA;

EID: 65249098338     PISSN: 15353893     EISSN: None     Source Type: Journal    
DOI: 10.1021/pr800867y     Document Type: Article

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