Research Article

PSO-LocBact: A Consensus Method for Optimizing Multiple Classifier Results for Predicting the Subcellular Localization of Bacterial Proteins

Table 2

Accuracy of each individual classifier and PSO-LocBact.

Gram-negative bacterial proteins
Location: predictorExtracellular regionOuter membranePeriplasmInner membraneCytoplasmOverall

CELLO40.69%48.84%76.74%87.21%89.53%68.60%
PSORTb 3.0100%100%88.37%100%98.84%97.44%
CELLO2GO100%100%87.21%100%100%97.44%
SOSUI-GramN66.28%56.98%67.44%90.70%87.21%73.72%
SLP-local36.05%075.58%065.12%35.35%
ngLOC77.91%96.51%86.05%93.02%94.19%89.53%
Gneg-mPLoc82.56%89.53%1.16%100%054.65%
PSLpred0100%1.16%0020.23%
LocTree384.88%46.51%80.23%93.02%93.02%79.53%
PSO-LocBact100%100%94.19%100%100%98.84%

Gram-positive bacterial proteins
Location: predictorExtracellular regionCell wallInner membraneCytoplasmOverall

CELLO86.84%29.87%100%100%79.42%
PSORTb 3.093.42%93.50%100%100%96.78%
CELLO2GO97.39%90.90%100%100%97.10%
ngLOC86.84%42.85%93.67%100%81.03%
Gpos-mPLoc34.21%24.68%77.21%100%59.81%
LocTree385.53%091.14%96.20%68.49%
PSO-LocBact97.39%94.80%100%100%98.07%