Prediction by support vector machines and analysis by Z-score of poly-L-proline type II conformation based on local sequence

Computational Biology and Chemistry

Volumn 29, Issue 2, 2005, Pages 95-100

  Wang, Ming Lei ^a,b   Yao, Hui ^b   Xu, Wen Bo ^b  

^a YANGTZE UNIVERSITY   (China)

^b JIANGNAN UNIVERSITY   (China)

Author keywords

Local sequence; Poly L proline type II; Protein structure; Support vector machine; Z score

Indexed keywords

APPROXIMATION THEORY; CORRELATION METHODS; DNA SEQUENCES; PARAMETER ESTIMATION; PATTERN RECOGNITION; PROBLEM SOLVING; PROTEINS; SET THEORY;

LOCAL SEQUENCES; POLY-L-PROLINE TYPE II; PROTEIN STRUCTURES; SUPPORT VECTOR MACHINES (SVM); Z-SCORE;

AMINO ACIDS;

PEPTIDE; POLYPROLINE;

ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGY; CHEMISTRY; COMPARATIVE STUDY; PROTEIN CONFORMATION; PROTEIN DATABASE;

COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; PATTERN RECOGNITION, AUTOMATED; PEPTIDES; PROTEIN CONFORMATION;

EID: 16344391206     PISSN: 14769271     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiolchem.2005.02.002     Document Type: Article

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