The HMMTOP transmembrane topology prediction server

Bioinformatics

Volumn 17, Issue 9, 2001, Pages 849-850

  Tusnády, Gábor E ^a,b   Simon, István ^a  

^a INSTITUTE OF ENZYMOLOGY   (Hungary)

^b EÖTVÖS LORÁND UNIVERSITY   (Hungary)

Author keywords

[No Author keywords available]

Indexed keywords

GLYCOPROTEIN P; MEMBRANE PROTEIN;

ACCURACY; ARTICLE; COMPUTER PROGRAM; COMPUTER SYSTEM; DATA ANALYSIS; HUMAN; INFORMATION PROCESSING; MEMBRANE STRUCTURE; METHODOLOGY; MOLECULAR MODEL; ONLINE SYSTEM; PREDICTION; PRIORITY JOURNAL; PROBABILITY; PROTEIN LOCALIZATION; PROTEIN STRUCTURE; STRUCTURE ANALYSIS;

EID: 0034786532     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/17.9.849     Document Type: Article

References (15)

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7. Predicting transmembrane protein topology with a Hidden Markov Model: Application to completegenomes
8. A neural network model for the prediction of membrane-spanning amino acid sequences
9. TMAP: A new email and WWW service for membrane-protein structural predictions
10. A collection of well characterised integral membrane proteins
11. Topology prediction for helical transmembrane proteins at 86% accuracy
12. A hidden Markov model for predicting transmembrane helices in protein sequences
13. Membrane topology distinguishes a subfamily of the ATP-Binding Cassette (ABC) Transporters
14. Principles governing amino acid composition of integral membrane proteins: Application to topology prediction
15. Distantly related sequences in the alpha- and beta-subunits of ATP synthase, myosin, kinases and other ATP-requiring enzymes and a common nucleotide binding fold