Best α-helical transmembrane protein topology predictions are achieved using hidden Markov models and evolutionary information

Protein Science

Volumn 13, Issue 7, 2004, Pages 1908-1917

  Viklund, Håkan ^a   Elofsson, Arne ^a  

^a STOCKHOLM UNIVERSITY   (Sweden)

Author keywords

helix; Hidden Markov model; Sequence profile; Topology prediction; Transmembrane protein

Indexed keywords

MEMBRANE PROTEIN; PROTEOME;

ALPHA HELIX; ARTICLE; EVALUATION; MARKOV MODEL; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; MEMBRANE STRUCTURE; MOLECULAR EVOLUTION; OPTICAL RESOLUTION; PREDICTION; PRIORITY JOURNAL; PRODIV TMHMM MODEL; SEQUENCE HOMOLOGY; STANDARD; THREE DIMENSIONAL IMAGING;

ANIMALS; HUMANS; MARKOV CHAINS; MEMBRANE PROTEINS; PREDICTIVE VALUE OF TESTS; PROTEIN STRUCTURE, SECONDARY; PROTEIN STRUCTURE, TERTIARY; SEQUENCE ALIGNMENT;

EID: 3042579686     PISSN: 09618368     EISSN: None     Source Type: Journal    
DOI: 10.1110/ps.04625404     Document Type: Article

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