kevinmicha/ANTIPASTI
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.
This tool helps researchers in drug discovery and immunology predict how strongly an antibody will bind to its target. You provide the 3D atomic structure of an antibody, and it calculates a binding affinity score. This is useful for computational biologists and drug developers evaluating potential therapeutic antibodies.
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Use this if you need to quickly assess the binding strength of an antibody based on its structural information, guiding drug design or research into antibody-antigen interactions.
Not ideal if you do not have access to the antibody's 3D structural data or are looking for experimental validation methods rather than computational prediction.
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Language
Jupyter Notebook
License
MIT
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Last pushed
Nov 08, 2024
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