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
Setup, run and analyse Adaptive MDeNM simulations on CHARMM
A tool to perform quick normal mode analysis on a PDB file using Tirion's model.
Setup and run aMDeNM simulations with Python
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