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
Please read the
pathological list in any notebook to see which complexes have been excluded (more details can be found in the ANTIPASTI paper).
Last build of this documentation: Jan 22, 2024.