Using the SMOTE technique and hybrid features to predict the types of ion channel-targeted conotoxins

Journal of Theoretical Biology

Volumn 403, Issue , 2016, Pages 75-84

  Zhang, Lina ^a   Zhang, Chengjin ^a,b   Gao, Rui ^a   Yang, Runtao ^a   Song, Qing ^c  

^a SHANDONG UNIVERSITY   (China)

^b SHANDONG UNIVERSITY   (China)

^c UNIVERSITY OF JINAN   (China)

Author keywords

Hybrid Features; Ion Channel targeted Conotoxins; Relief; SMOTE

Indexed keywords

CALCIUM ION; CONOTOXIN; DIPEPTIDE; G GAP DIPEPTIDE; UNCLASSIFIED DRUG; AMINO ACID; ION CHANNEL; PEPTIDE;

ACCURACY ASSESSMENT; ION; PHYSIOLOGY; PREDICTION; TOXIN;

ACCURACY; ARTICLE; CHEMICAL COMPOSITION; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; DRUG DISTRIBUTION; DRUG INFORMATION; DRUG SENSITIVITY; HYBRID; MATHEMATICAL MODEL; PHASE TRANSITION; PHYSICAL CHEMISTRY; PREDICTION; PRIORITY JOURNAL; PROCESS OPTIMIZATION; RANDOM FOREST; RELIEF INCREMENTAL FEATURE SELECTION; SECONDARY STRUTCURE INFORMATION; SYNTHETIC MINORITY OVER SAMPLING TECHNIQUE; TRAINING; ALGORITHM; AMINO ACID SEQUENCE; BIOLOGY; CHEMISTRY; CLUSTER ANALYSIS; METABOLISM; PROCEDURES; PROTEIN DATABASE;

ALGORITHMS; AMINO ACID SEQUENCE; AMINO ACIDS; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; CONOTOXINS; DATABASES, PROTEIN; ION CHANNELS; PEPTIDES;

EID: 84968867166     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2016.04.034     Document Type: Article

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