TMHMM - Prediction of transmembrane helices in proteins
TMHMM is a method for prediction transmembrane helices based on a hidden Markov model and
developed by Anders Krogh and Erik Sonnhammer. The method is described in detail in the
Predicting transmembrane protein topology with a hidden Markov model: Application
to complete genomes. A. Krogh, B. Larsson, G. von Heijne, and E. L. L. Sonnhammer.
J. Mol. Biol., 305(3):567-580, January 2001.
A hidden Markov model for predicting transmembrane helices in protein sequences.
E. L.L. Sonnhammer, G. von Heijne, and A. Krogh.
In J. Glasgow, T. Littlejohn, F. Major, R. Lathrop, D. Sankoff, and C. Sensen, editors,
Proceedings of the Sixth International Conference on Intelligent Systems for Molecular Biology,
pages 175-182, Menlo Park, CA, 1998. AAAI Press.
Alonside this Web Service RNAmmer method is also implemented as an interactive WWW server at:
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