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

Table 5 Examples of prediction for multi-localized sequences

Name	Correct	MLCS	CYT	END	GOL	CSK	LYS	MIT	NUC	PLA	EXC	POX
TAU_MACMU	CYT/PLA	98.2	49.1^a	0.2	0.1	0.1	0.0	0.3	0.6	49.2^a	0.3	0.1
CTNB1_MOUSE	CYT/NUC	85.1	49.8^a	0.1	0.0	0.0	0.0	0.1	42.2^a	7.5	0.2	0.0
3BHS2_RAT	END/MIT	97.9	0.4	48.9^a	0.2	0.1	0.0	49.1^a	0.3	0.4	0.4	0.1
SIA4A_CHICK	GOL/EXC	85.0	2.4	1.8	42.4^a	0.6	0.0	1.8	2.5	4.6	43.7^a	0.2
GGH_HUMAN	LYS/EXC	69.1	4.4	3.1	2.1	2.0	33.7^a	3.2	5.9	5.4	39.9^a	0.3

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.

ISSN: 1474-760X