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Table 5 Examples of prediction for multi-localized sequences

From: ngLOC: an n-gram-based Bayesian method for estimating the subcellular proteomes of eukaryotes

Name Correct MLCS CYT END GOL CSK LYS MIT NUC PLA EXC POX
TAU_MACMU CYT/PLA 98.2 49.1a 0.2 0.1 0.1 0.0 0.3 0.6 49.2a 0.3 0.1
CTNB1_MOUSE CYT/NUC 85.1 49.8a 0.1 0.0 0.0 0.0 0.1 42.2a 7.5 0.2 0.0
3BHS2_RAT END/MIT 97.9 0.4 48.9a 0.2 0.1 0.0 49.1a 0.3 0.4 0.4 0.1
SIA4A_CHICK GOL/EXC 85.0 2.4 1.8 42.4a 0.6 0.0 1.8 2.5 4.6 43.7a 0.2
GGH_HUMAN LYS/EXC 69.1 4.4 3.1 2.1 2.0 33.7a 3.2 5.9 5.4 39.9a 0.3
  1. This table presents examples of multi-localized sequences predicted with a high multi-localized confidence score (MLCS) value. The 'name' column represents Swiss-Prot entry names. The 'correct' column shows both organelles in which the sequence is localized into. The remaining columns show the confidence score for each possible localization. CSK, cytoskeleton; CYT, cytoplasm; END, endoplasmic reticulum; EXC, extracellular; GOL, golgi; LYS, lysosome; MIT, mitochondria; NUC, nucleus; PLA, plasma membrane; POX, perixosome. aThese indicate the two correct localizations for each sequence.