TargetFreeze: Identifying Antifreeze Proteins via a Combination of Weights using Sequence Evolutionary Information and Pseudo Amino Acid Composition

Journal of Membrane Biology

Volumn 248, Issue 6, 2015, Pages 1005-1014

  He, Xue ^a   Han, Ke ^a   Hu, Jun ^a   Yan, Hui ^a   Yang, Jing Yu ^a   Shen, Hong Bin ^b   Yu, Dong Jun ^a  

^a NANJING UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Antifreeze protein prediction; Machine learning; Multi view protein features; Support vector machine

Indexed keywords

ANTIFREEZE PROTEIN; AMINO ACID;

AMINO ACID COMPOSITION; ARTICLE; COMPUTER ANALYSIS; CONTROLLED STUDY; POSITION WEIGHT MATRIX; PREDICTION; PROTEIN ANALYSIS; SUPPORT VECTOR MACHINE; VALIDATION STUDY; WORKFLOW; ALGORITHM; AMINO ACID SEQUENCE; BIOLOGY; CHEMISTRY; COMPUTER PROGRAM; GENETICS; MOLECULAR EVOLUTION; PROCEDURES; RECEIVER OPERATING CHARACTERISTIC; REPRODUCIBILITY; WEB BROWSER;

ALGORITHMS; AMINO ACID SEQUENCE; AMINO ACIDS; ANTIFREEZE PROTEINS; COMPUTATIONAL BIOLOGY; EVOLUTION, MOLECULAR; POSITION-SPECIFIC SCORING MATRICES; REPRODUCIBILITY OF RESULTS; ROC CURVE; SOFTWARE; WEB BROWSER; WORKFLOW;

EID: 84945459590     PISSN: 00222631     EISSN: 14321424     Source Type: Journal    
DOI: 10.1007/s00232-015-9811-z     Document Type: Article

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