This is the standalone version of the AntiFP2 toolkit. Users can run advanced antifungal protein prediction workflows locally using these scripts and models. The standalone version provides all necessary Python codes, pretrained models, and databases to perform predictions not only for individual protein sequences but also for complete genomes and metagenomes. It integrates ESM2-based finetunned large language model, machine learning (PAAC), BLAST, MERCI motif scanning, and Prokka annotation. All scripts, models, and detailed usage instructions are available in the AntiFP2 GitHub repository and Docker container.
Pip is a user-friendly tool that allows you to install and manage Python packages using minimum dependencies and commands. Therefore, for easy accessibility, we have incorporated our tool into the PyPI repository.
The following command is required to install the package:
pip install antifp2
To know about the available option for the pip package, type the following command:
antifp2 -h