TM or not TM: Transmembrane protein prediction with low false positive rate using DAS-TMfilter

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Abstract

Summary: Web-based servers implementing the DAS-TMfilter algorithm have been launched at three mirror sites and their usage is described. The underlying computer program is an upgraded and modified version of the DAS-prediction method. The new server is designed to make distinction between protein sequences with and without transmembrane (TM) helices at a reasonably low rate of false positive prediction (∼1 among 100 unrelated queries) while the high efficiency of the original algorithm locating TM segments in queries is preserved (sensitivity of ∼95% among documented proteins with helical TM regions).

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Cserzo, M., Eisenhaber, F., Eisenhaber, B., & Simon, I. (2004). TM or not TM: Transmembrane protein prediction with low false positive rate using DAS-TMfilter. Bioinformatics, 20(1), 136–137. https://doi.org/10.1093/bioinformatics/btg394

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