Welcome to ANTIPASTI’s documentation!



ANTIPASTI (ANTIbody Predictor of Affinity from STructural Information) is a Deep Learning model that predicts the binding affinity of antibodies from their three-dimensional structure. The repository is on GitHub.

You can follow the example notebooks to learn how to use the core functionality of ANTIPASTI

If you have already read our paper, you might want to proceed with the Installation or the Tutorial.


Please read the pathological list in any notebook to see which complexes have been excluded (more details can be found in the ANTIPASTI paper).


Feel free to read the instructions. You can also contact the code author Kevin Michalewicz.


Last build of this documentation: Jun 02, 2024.