The use of functional domains to improve transmembrane protein topology prediction

Journal of Bioinformatics and Computational Biology

Volumn 4, Issue 1, 2006, Pages 109-123

  Xu, Emily W ^a   Kearney, Paul ^b   Brown, Daniel G ^c  

^a UNIVERSITY OF CALGARY   (Canada)

^b INSTITUTE FOR RESEARCH IN IMMUNOLOGY AND CANCER   (Canada)

^c UNIVERSITY OF WATERLOO   (Canada)

Author keywords

Functional domains; Hidden Markov models; PROSITE; TMHMM; Transmembrane protein topology prediction

Indexed keywords

MEMBRANE PROTEIN;

ACCURACY; ARTICLE; CONTROLLED STUDY; DATA ANALYSIS; EXPERIMENTAL STUDY; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; PREDICTION; PROBABILITY; PROTEIN DOMAIN; PROTEIN FUNCTION; PROTEIN LOCALIZATION; SENSITIVITY AND SPECIFICITY;

COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; MARKOV CHAINS; MEMBRANE PROTEINS; MODELS, MOLECULAR; PROTEIN STRUCTURE, SECONDARY; PROTEIN STRUCTURE, TERTIARY; SEQUENCE ALIGNMENT;

EID: 33645297088     PISSN: 02197200     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219720006001722     Document Type: Article

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