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.
Elastic Network Contact Model (coarse-grained Normal Mode Analysis software)
Predict allosteric pockets on proteins
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.
Physics-aware deep learning for protein stability & enzyme kinetics — tri-modal fusion of ProtT5 sequence embeddings, vibrational density of states (VDOS) from normal mode analysis, and ChemBERTa chemical features.
Elastic Network Model computation featuring GPU acceleration and parallel processing
Potential energy distribution (PED), vibrational-mode assignment and VPT2/IR analysis from ORCA Hessian outputs.
ORCA Vibrational Mode Analysis & IR Intensity Re-mapping Tool
A minimal Rust library for Anisotropic Network Model (ANM) normal-mode analysis: give it atoms, get back the vibrational modes of an elastic network.
Setup and run aMDeNM simulations with Python
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