Welcome to SortPred


Click Here to access the new SortPred Webserver


SortPred is a random forest based easy to use standalone program for the prediction of bacterial sortases. SortPred was developed by using different feature sets that includes, amino acid composition, dipeptide composition, physiochemical properties, and their hybrids as an input feature. The SortPred working module consists of two layers. Firstly, Layer 1 of SortPred predicts whether a given sequence is a sortase or non-sortase. In the second step, if the given sequence is predicted to be a sortase, Layer 2 predicts its class (A, B, C, D, E or F). In both the cases the probability scores are also provided.


Availability:
To use SortPred click Download
After download is complete, uncompress the file "SortPred_standalone.tar.gz", e.g.
On Linux: tar -xvzf SortPred_standalone.tar.gz
On Windows: To uncompress files with .tar.gz extension on Windows Click Here
Uncompressing the file will create a directory named "SortPred"
Go to this directory and follow the instructions provided in the readme file
Positive Dataset: Download
Negative Dataset: Download



Reference:
SortPred: The first machine learning based predictor to identify bacterial sortases and their classes using sequence-derived information. (Comput Struct Biotechnol J., 2022): DOI:10.1016/j.csbj.2021.12.014
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