Predicting transmembrane protein topology with a hidden Markov model: application to complete genomes.

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Summary

A new membrane protein topology prediction method, TMHMM, based on a hidden Markov model is described and validated, and it is discovered that proteins with N(in)-C(in) topologies are strongly preferred in all examined organisms, except Caenorhabditis elegans, where the large number of 7TM receptors increases the counts for N(out)-C-in topologies.

Type
article
Published
2001-01-19
Cited by
12,791
References
38

Keywords

Membrane topology, Caenorhabditis elegans, Transmembrane protein, Membrane protein, Network topology

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