Using support vector machine and evolutionary profiles to predict antifreeze protein sequences

International Journal of Molecular Sciences

Volumn 13, Issue 2, 2012, Pages 2196-2207

  Zhao, Xiawei ^a,b   Ma, Zhiqiang ^a,b   Yin, Minghao ^a,b  

^a NORTHEAST NORMAL UNIVERSITY   (China)

^b JILIN UNIVERSITY   (China)

Author keywords

Antifreeze proteins; Evolutionary information; Position specific scoring matrix; Support vector machine; Web sever

Indexed keywords

ANTIFREEZE PROTEIN; AMINO ACIDS; ANTIFREEZE PROTEINS;

ACCURACY; AMINO ACID COMPOSITION; AMINO ACID SEQUENCE; ARTICLE; COMPUTER PROGRAM; CONTROLLED STUDY; MACHINE LEARNING; POSITION WEIGHT MATRIX; POSITRON SPECIFIC SCORING MATRIX; PREDICTIVE VALIDITY; PROTEIN ANALYSIS; PROTEIN DATABASE; PROTEIN INTERACTION; QUALITY CONTROL; SUPPORT VECTOR MACHINE; WEB SERVER; ALGORITHMS; CHEMISTRY; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; EVALUATION; EVOLUTION, MOLECULAR; GENETICS; METHODS; SUPPORT VECTOR MACHINES; USER-COMPUTER INTERFACE;

ALGORITHMS; AMINO ACID SEQUENCE; AMINO ACIDS; ANTIFREEZE PROTEINS; COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; EVOLUTION, MOLECULAR; SUPPORT VECTOR MACHINES; USER-COMPUTER INTERFACE;

EID: 84863240433     PISSN: None     EISSN: 14220067     Source Type: Journal    
DOI: 10.3390/ijms13022196     Document Type: Article

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