Using predicted shape string to enhance the accuracy of γ-turn prediction

Amino Acids

Volumn 42, Issue 5, 2012, Pages 1749-1755

  Zhu, Yaojuan ^a   Li, Tonghua ^a   Li, Dapeng ^a   Zhang, Yun ^a   Xiong, Wenwei ^a   Sun, Jiangming ^a   Tang, Zehui ^a   Chen, Guanyan ^a  

^a TONGJI UNIVERSITY   (China)

Author keywords

Turn prediction; Imbalanced data; Shape string; Support vector machine (SVM)

Indexed keywords

ACCURACY; ARTICLE; GAMMA TURN; GEOMETRY; MACHINE LEARNING; PREDICTION; PRIORITY JOURNAL; PROTEIN DATABASE; PROTEIN STRUCTURE; SENSITIVITY AND SPECIFICITY; SEQUENCE HOMOLOGY; SUPPORT VECTOR MACHINE;

ALGORITHMS; AMINO ACID SEQUENCE; DATABASES, PROTEIN; MOLECULAR SEQUENCE DATA; NEURAL NETWORKS (COMPUTER); PROTEIN CONFORMATION; PROTEIN FOLDING; PROTEIN STRUCTURE, SECONDARY; PROTEINS; SEQUENCE ALIGNMENT; SOFTWARE; SUPPORT VECTOR MACHINES;

EID: 84862772398     PISSN: 09394451     EISSN: 14382199     Source Type: Journal    
DOI: 10.1007/s00726-011-0889-z     Document Type: Article

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