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Reliability of transmembrane predictions in whole‐genome data
Author(s) -
Käll Lukas,
Sonnhammer Erik L.L
Publication year - 2002
Publication title -
febs letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.593
H-Index - 257
eISSN - 1873-3468
pISSN - 0014-5793
DOI - 10.1016/s0014-5793(02)03730-4
Subject(s) - reliability (semiconductor) , computational biology , genome , computer science , reliability engineering , biology , genetics , physics , engineering , gene , power (physics) , quantum mechanics
Transmembrane prediction methods are generally benchmarked on a set of proteins with experimentally verified topology. We have investigated if the accuracy measured on such datasets can be expected in an unbiased genomic analysis, or if there is a bias towards ‘easily predictable’ proteins in the benchmark datasets. As a measurement of accuracy, the concordance of the results from five different prediction methods was used (TMHMM, PHD, HMMTOP, MEMSAT, and TOPPRED). The benchmark dataset showed significantly higher levels (up to five times) of agreement between different methods than in 10 tested genomes. We have also analyzed which programs are most prone to make mispredictions by measuring the frequency of one‐out‐of‐five disagreeing predictions.