A 9-state hidden Markov model using protein secondary structure information for protein fold recognition

Computers in Biology and Medicine

Volumn 39, Issue 6, 2009, Pages 527-534

  Lee, Sun Young ^a   Lee, Jong Yun ^a   Jung, Kwang Su ^a   Ryu, Keun Ho ^a  

^a Chungbuk National University   (South Korea)

Author keywords

Fold recognition; HMM; Protein secondary structure; Protein structure prediction; SCOP; The 9 state HMM

Indexed keywords

FOLD RECOGNITION; HMM; PROTEIN SECONDARY STRUCTURE; PROTEIN STRUCTURE PREDICTION; SCOP; THE 9-STATE HMM;

INFORMATION USE; MODEL STRUCTURES; OBJECT RECOGNITION; PROTEIN FOLDING; PROTEINS; WAVELET TRANSFORMS;

HIDDEN MARKOV MODELS;

ALGORITHM; ALPHA HELIX; AMINO ACID SEQUENCE; ARTICLE; CONTROLLED STUDY; HIDDEN MARKOV MODEL; PRIORITY JOURNAL; PROTEIN FOLDING; PROTEIN SECONDARY STRUCTURE;

MARKOV CHAINS; MODELS, MOLECULAR; PROTEIN FOLDING; PROTEIN STRUCTURE, SECONDARY;

EID: 67349221838     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2009.03.008     Document Type: Article

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