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Table 5 Performance metrics for the proposed approach, Blast, PSI-Blast and Delta-Blast, in discriminating the resistant proteins from non-resistant proteins, where the positive dataset consists of <40% (first) and <90% (second) pair-wise sequence identity

From: DIRProt: a computational approach for discriminating insecticide resistant proteins from non-resistant proteins

Dataset

Method

Sn

Sp

Ac

Pre

MCC

First

Proposed

0.897

0.934

0.916

0.933

0.836

Blast

0.961

0.611

0.786

0.713

0.617

PSI-Blast

0.959

0.602

0.780

0.707

0.607

Delta-Blast

0.961

0.652

0.806

0.735

0.647

Second

Proposed

0.875

0.891

0.883

0.901

0.784

Blast

0.958

0.350

0.654

0.596

0.392

PSI-Blast

0.958

0.358

0.658

0.601

0.400

Delta-Blast

0.958

0.466

0.712

0.646

0.495

  1. Here, AUC-ROC values were not computed, as in Blast algorithms accuracies are computed based on number of hits
  2. Sn Sensitivity, Sp Specificity, Ac Accuracy, Pre Precision, MCC Matthew’s correlation coefficient
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BMC Bioinformatics

ISSN: 1471-2105

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