Welcome to standalone version of APLpred

APLpred is an SVM-based easy to use webserver for the prediction of Asparagine peptide lyase (APL) enzymes. APLpred was developed by using different feature sets that includes, amino acid composition, dipeptide composition, physiochemical properties, and their hybrids as an input feature. The APLpred working module is based on optimally derived hybrid feature encodings which predicts whether a given sequence is an APL or non-APL enzyme. In addition to the prediction results, the probability scores for each prediction are also provided.

To use APLpred as a standalone tool click Download
After download is complete, uncompress the file "APLpred_standalone.tar.gz", e.g.
On Linux: tar -xvzf APLpred_standalone.tar.gz
On Windows: To uncompress files with .tar.gz extension on Windows Click Here
Uncompressing the file will create a directory named "APLpred_standalone"
Go to this directory and follow the instructions provided in the readme file
Cross-Validation Dataset: Download
Independent Validation Dataset: Download