MEMSAT (MEMbrane protein Structure And Topology) is a program which predicts the secondary structure and topology of all-helix integral membrane proteins based on the recognition of topological models. The original MEMSAT method employed a set of statistical tables (log likelihood ratios) compiled from well- characterized membrane protein data, and a novel dynamic programming algorithm to recognize membrane topology models by expectation maximization. These statistical tables showed definite biases towards certain amino acid species on the inside, middle and outside of a cellular membrane.
Bioinformatics Group – University College London
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Jones D.T. (2007)
Improving the accuracy of transmembrane protein topology prediction using evolutionary information.
Bioinformatics. 2007 Mar 1;23(5):538-44. Epub 2007 Jan 19.