This page provides user to download the Standalone tool, source code, and datasets for CPPLocPred.
Complete standalone package including the prediction script, motif search module, pre-trained model files, and motif databases. Run CPPLocPred locally without any web dependency.
Browse and clone the complete source code, scripts, and documentation from GitHub. Contributions, issues, and pull requests are welcome.
Install CPPLocPred directly from PyPI using pip. Automatically handles Python dependencies including scikit-learn, catboost, and pandas.
Benchmark dataset used to train and evaluate CPPLocPred. Includes positive CPP sequences with verified subcellular localization labels (Cytoplasm, Nucleus, Mitochondria, Endo/Lysosome, Others) and negative non-CPP sequences. Provided in FASTA and CSV format.