Predict the binding affinity of protein-protein complexes from structural data
-
Updated
Sep 2, 2025 - Python
Predict the binding affinity of protein-protein complexes from structural data
PSICHIC (pronounced Psychic) - PhySIcoCHemICal graph neural network for learning protein-ligand interaction fingerprints from sequence data
Affinity Protein-Protein Transformers—State of the art protein-protein binding affinity in seconds!
The official implementation of DiffAbXL benchmarked in the paper "Exploring Log-Likelihood Scores for Ranking Antibody Sequence Designs", formerly titled "Benchmarking Generative Models for Antibody Design".
Dataset with quantitative binding scores of scFv-format antibodies against SARS-CoV-2 target peptide
Predicting the effect of mutations on protein stability and protein binding affinity using pretrained neural networks and a ranking objective function.
Official Implementation of CompassDock
NeuralMD for protein-ligand binding simulation
Predict binding affinity of ligand-protein complexes using Graph Neural Networks. The model is implemented using PyTorch Geometric and based on the method in "Predicting drug-target interaction using 3D structure-embedded graph representations from graph neural networks"
Generate customized voxel representations of protein-ligand complexes using GPU.
Predicting the effect of mutations on protein stability and protein-protein interaction affinity.
Repository for the Taba tool
Comprehensive ensembling of protein-ligand structure and affinity prediction methods (CASP16)
Prediction of Absolute Ligand-Protein Binding Affinity
Predicts the dissociation coefficients between drug-protein (target) pairs using molecular fingerprints and physicochemical protein properties.
Final Project of Deep Learning for Healthcare Spring 2022 - Reproducing DeepDTA
TAG-DTA: Binding Region-Guided Strategy to Predict Drug-Target Affinity Using Transformers
Molecule oracle for predicting clinical viability from binding affinity and historical clinical trial data.
Data analysis workflow for proteomics mass spectrometry featuring bayesian deconvolution and various downstream analyses.
Add a description, image, and links to the binding-affinity topic page so that developers can more easily learn about it.
To associate your repository with the binding-affinity topic, visit your repo's landing page and select "manage topics."