A neural-network based method for prediction of γ-turns in proteins from multiple sequence alignment

Protein Science

Volumn 12, Issue 5, 2003, Pages 923-929

  Kaur, Harpreet ^a   Raghava, G P S ^a  

^a INSTITUTE OF MICROBIAL TECHNOLOGY   (India)

Author keywords

< Turns; Multiple alignment; Neural networks; Prediction; Secondary structure; Statistical; Web server; Weka classifiers

Indexed keywords

AMINO ACID SEQUENCE; ARTICLE; ARTIFICIAL NEURAL NETWORK; BETA SHEET; CORRELATION COEFFICIENT; MOLECULAR DYNAMICS; PREDICTION; PRIORITY JOURNAL; PROTEIN SECONDARY STRUCTURE; PROTEIN STRUCTURE; RECEIVER OPERATING CHARACTERISTIC; STATISTICAL ANALYSIS; VALIDATION PROCESS;

DATABASES, PROTEIN; MODELS, MOLECULAR; NEURAL NETWORKS (COMPUTER); PROTEIN STRUCTURE, SECONDARY; PROTEINS; SEQUENCE ALIGNMENT;

GALLIRALLUS AUSTRALIS;

EID: 0037407019     PISSN: 09618368     EISSN: None     Source Type: Journal    
DOI: 10.1110/ps.0241703     Document Type: Article

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