Protein structure and fold prediction using Tree-Augmented naïve Bayesian classifier

Journal of Bioinformatics and Computational Biology

Volumn 3, Issue 4, 2005, Pages 803-819

  Chinnasamy, Arunkumar ^a   Sung, Wing kin ^a   Mittal, Ankush ^b  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

Author keywords

Bayesian classifier; Protein feature extraction; Protein fold class prediction; SVM; Visualization

Indexed keywords

ACCESS TO INFORMATION; ACCURACY; AMINO ACID SEQUENCE; ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; CLASSIFICATION; COMPUTER SYSTEM; CONTROLLED STUDY; HYDROPHOBICITY; INFORMATION PROCESSING; INTERMETHOD COMPARISON; INTERNET; PREDICTION; PROBABILITY; PROTEIN ANALYSIS; PROTEIN FOLDING; PROTEIN STRUCTURE; SEQUENCE HOMOLOGY; STRUCTURE ANALYSIS; THEORY;

ALGORITHMS; AMINO ACID SEQUENCE; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; COMPUTER SIMULATION; MODELS, MOLECULAR; MOLECULAR SEQUENCE DATA; PATTERN RECOGNITION, AUTOMATED; PROTEIN CONFORMATION; PROTEIN FOLDING; PROTEINS; SEQUENCE ANALYSIS, PROTEIN; STRUCTURE-ACTIVITY RELATIONSHIP;

EID: 22544444234     PISSN: 02197200     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219720005001302     Document Type: Article

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