BlaPred at a glance!!
BlaPred is a 3-teir system for prediction of β-lactamase and it's subsequent classification into Ambler's class and sub-classes. The prediction model is based on classic or Type-1 pseudo amino acid composition input and have been trained using leave one out cross-validation approach on a dataset of 3298 proteins (298 β-lactamase & 3000 non-β-lactamase proteins).
The salient features of BlaPred server are:
- At the first level its classifies β-lactamase from nonβ-lactamase with the accuracy of 93.57%.
- At second level it shows 93.27%, 95.52%, 96.86%, 97.31% accuracy for class A, B, C and D β-lactamase respectively.
- At third level it shows 84.78% 95.65% 89.13% accuracy for subclass B1,B2 and B3 respectively .
How it works????
An user can submit a protein sequence in FASTA format. The prediction result will be displayed in tabular format.
Click HERE to get the standalone version of BlaPred.
Click HERE to get the positive data set of 298 β-lactamase proteins and negative dataset of 3000 proteins used to develop blapred.
Click HERE to get the Supplementary Material.
