Receiver operating characteristic (ROC) curve analysis was carried out to evaluate the individual performance of 3 classifier proteins; apolipoprotein A-I, haptoglobin and retinol-binding protein in malaria prediction. These 3 serum proteins were used as potential classifiers (along with other 3 candidates) to build statistical sample class prediction models employing PLS-DA and For proteins with multiple spots in the 2D gels, representative spot detail is provided. Exact values for each spot are provided in (Table S2) . other classification methods for FM, VM, FC and HC discrimination. The area under the ROC curve (AUC) indicates the accuracy of different classifier proteins to distinguish FM, VM and leptospirosis from HC ( Figure 5 ). ROC curves demonstrate apolipoprotein A-I (AUC = 0.957) and haptoglobin (AUC = 0.936) as efficient predictor proteins for falciparum malaria detection. A cut off value .112.1 mg/dL for Apo A-I revealed the specificity and sensitivity of 90% and 95%, respectively; while haptoglobin at a cut off value .0.465 g/L provided 95% specificity and 90% sensitivity in predicting Pf infection. Retinolbinding protein (AUC = 0.879) exhibited moderate sensitivity (66.6%) and specificity (80%) for FM at a cut off value .30.88 mg/mL ( Figure S9C ; Table S9 ). Precondition efficiency of the classifier proteins for vivax malaria was also evaluated and found to be highly appreciable for Apo A-I (AUC = 0.979; 94.12% sensitivity and 95% specificity at a threshold value .96.59 mg/ dL), haptoglobin (AUC = 0.888; 76.47% sensitivity and 95% specificity at a threshold value .0.45 g/L) and retinol-binding protein (AUC = 0.875; 76% sensitivity and 90% specificity at a threshold value .28.61 mg/mL) as well ( Figure S9D ; Table S9 ).