A hidden Markov model with molecular mechanics energy-scoring function for transmembrane helix prediction

Computational Biology and Chemistry

Volumn 28, Issue 4, 2004, Pages 265-274

  Zheng, W Jim ^a   Spassov, Velin Z ^b   Yan, Lisa ^b   Flook, Paul K ^b   Szalma, Sándor ^c  

^a MEDICAL UNIVERSITY OF SOUTH CAROLINA   (United States)

^b ACCELRYS INC   (United States)

^c MeTa Informatics   (United States)

Author keywords

Folding energy; GPCR; Hidden markov model; Topology prediction; Transmembrane protein topology

Indexed keywords

ALGORITHMS; COMPUTATIONAL COMPLEXITY; CONFORMATIONS; DRUG DOSAGE; MARKOV PROCESSES; PROTEINS; TOPOLOGY;

FOLDING ENERGY; G-PROTEIN-COUPLED RECEPTORS (GPCR); HIDDEN MARKOV MODEL; TOPOLOGY PREDICTION; TRANSMEMBRANE PROTEIN TOPOLOGY;

MOLECULAR BIOLOGY;

MEMBRANE PROTEIN;

ALGORITHM; ARTICLE; BIOLOGY; CHEMISTRY; FACTUAL DATABASE; METABOLISM; PHYSIOLOGY; PROBABILITY; PROTEIN FOLDING; PROTEIN SECONDARY STRUCTURE; STATISTICAL MODEL;

ALGORITHMS; COMPUTATIONAL BIOLOGY; DATABASES, FACTUAL; MARKOV CHAINS; MEMBRANE PROTEINS; MODELS, STATISTICAL; PROTEIN FOLDING; PROTEIN STRUCTURE, SECONDARY;

EID: 9544252210     PISSN: 14769271     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiolchem.2004.07.002     Document Type: Article

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