Accurate prediction of protein structural class using auto covariance transformation of PSI-BLAST profiles

Amino Acids

Volumn 42, Issue 6, 2012, Pages 2243-2249

  Liu, Taigang ^a   Geng, Xingbo ^b   Zheng, Xiaoqi ^c,d   Li, Rensuo ^a   Wang, Jun ^c,d  

^a SHANDONG AGRICULTURAL UNIVERSITY   (China)

^b DALIAN UNIVERSITY OF TECHNOLOGY   (China)

^c SHANGHAI NORMAL UNIVERSITY   (China)

^d Scientific Computing Key Laboratory   (China)

Author keywords

Auto covariance transformation; Protein structural class; PSI BLAST profile; Support vector machine

Indexed keywords

AMINO ACID;

AAC PSSM AC; AAD CGR; AADP PSSM; AMINO ACID ANALYSIS; AMINO ACID COMPOSITION; AMINO ACID SEQUENCE; ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTO COVARIANCE TRANSFORMATION; BAYES CLASSIFIER; COMPONENT COUPLED; CONTROLLED STUDY; CWT PCA SVM; FKNN CLASSIFIER; IB1; IGA SVM; INFORMATION PROCESSING; INFORMATION THEORETICAL APPROACH; INTERMETHOD COMPARISON; INTERNET; JACKKNIFE TEST; LLSC PRED; LOGISTIC REGRESSION ANALYSIS; LOGITBOOST; MACHINE LEARNING; MODAS; MOLECULAR EVOLUTION; POSITION SPECIFIC SCORE MATRIX; PREDICTION; PRIORITY JOURNAL; PROTEIN STRUCTURE; PSI BLAST; QUALITY CONTROL; RKS PPSC; ROUGH SET; SCPRED; SEQUENCE DATABASE; SPECIFIC TRI PEPTIDES; STACKINGC ENSEMBLE; STATISTICAL PARAMETERS; SUPPORT VECTOR MACHINE; SVM FUSION; WSVM;

COMPUTATIONAL BIOLOGY; DATABASES, PROTEIN; PROTEINS; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS, PROTEIN; SOFTWARE; SUPPORT VECTOR MACHINES;

EID: 84862763274     PISSN: 09394451     EISSN: 14382199     Source Type: Journal    
DOI: 10.1007/s00726-011-0964-5     Document Type: Article

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