epitopepredict0.4.0

epitopepredict applies MHC-binding prediction methods to help users identify candidate epitopes and examine related neo-epitope predictions. Developed by Damien Farrell, it is aimed at learning and applying computational biology techniques, particularly in educational and research settings.

The software offers a standardized Python interface alongside a command-line tool, allowing prediction workflows to be scripted or run directly from a Linux terminal. It brings several MHC-binding prediction methods behind a common interface, including a built-in method for MHC class I prediction and the TEPITOPEPan method. Prediction results can then be processed and visualized in a consistent way, rather than handled separately for each method.

Students can use it to study how computational epitope prediction works, while researchers can incorporate its methods into repeatable analysis scripts or command-line workflows. Its combination of multiple predictors, shared result handling, and Python access distinguishes it from a single-method prediction utility.

Version v0.4.0 is open-source and runs on Linux systems with snapd on x86_64 (amd64) architecture. The accompanying documentation is available through Read the Docs, giving users reference material for the package and its command-line usage.