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.
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Updated
Nov 8, 2024 - Jupyter Notebook
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.
Predict allosteric pockets on proteins
Elastic Network Contact Model (coarse-grained Normal Mode Analysis software)
Integrated Bioinformatics Project
This repository contains different scripts used for the normal mode analysis of biomolecules with known crystal structures.
Normal mode analysis from meshes
A tool to perform quick normal mode analysis on a PDB file using Tirion's model.
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