In Silico screening for functional candidates amongst hypothetical proteins

BMC Bioinformatics

Table 1 Overview of subcellular localization prediction programs for eukaryotic proteins

Classification method	Number of localization sites	Accuracy
BaCelLo[14] http://gpcr.biocomp.unibo.it/bacello/	4-5	67-76%
LOCtree[15] http://cubic.bioc.columbia.edu/services/loctree/	4	74%
MITOPRED[16] http://bioapps.rit.albany.edu/MITOPRED/	1	85%
MultiLoc[17] http://www-bs.informatik.uni-tuebingen.de/Services/MultiLoc/	11	75%
PA-SUB[18] http://www.cs.ualberta.ca/~bioinfo/PA/Sub/	11	81-94%
pTarget[19, 20] http://bioapps.rit.albany.edu/pTARGET/	9	68-87%
TargetP[21] http://www.cbs.dtu.dk/services/TargetP/	3	90%
WoLF PSORT[22] http://wolfpsort.org/	12	80%

A selection of subcellular localization prediction programs for eukaryotic proteins reported to have a medium to high prediction accuracy. Listed are the numbers of compartments each program can predict targeting to, and the reported accuracy of the prediction.

ISSN: 1471-2105