Improving protein structural class prediction using novel combined sequence information and predicted secondary structural features

Journal of Computational Chemistry

Volumn 32, Issue 16, 2011, Pages 3393-3398

  Dai, Qi ^a   Wu, Li ^b   Li, Lihua ^b  

^a ZHEJIANG SCI TECH UNIVERSITY   (China)

^b HANGZHOU DIANZI UNIVERSITY   (China)

Author keywords

predicted secondary structure; protein structural class prediction; support vector machine; word frequency information; word position information

Indexed keywords

AMINO ACID SEQUENCE; BENCHMARK DATASETS; EFFICIENT METHOD; POSITION INFORMATION; PREDICTION ACCURACY; PROTEIN SEQUENCES; SECONDARY STRUCTURES; STRUCTURAL CLASS; STRUCTURAL FEATURE; SUPPORT VECTOR; WORD FREQUENCIES; WORD FREQUENCY INFORMATION;

AMINO ACIDS; BIOINFORMATICS; DATA MINING; FORECASTING; LINGUISTICS; PROTEINS;

INFORMATION USE;

PROTEIN;

AMINO ACID SEQUENCE; ARTICLE; CHEMISTRY; PROTEIN CONFORMATION; PROTEIN DATABASE;

AMINO ACID SEQUENCE; DATABASES, PROTEIN; PROTEIN CONFORMATION; PROTEINS;

EID: 80054684286     PISSN: 01928651     EISSN: 1096987X     Source Type: Journal    
DOI: 10.1002/jcc.21918     Document Type: Article

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