Repository Index

Official repository for the Boltz biomolecular interaction models

• binding-prediction
• drug-discovery
• protein-structure

Chai-1, SOTA model for biomolecular structure prediction

Sequential regulatory activity predictions with deep convolutional neural networks.

GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations

RNA-seq prediction with deep convolutional neural networks.

OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.

TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524

• self-attention
• compound-protein-interaction
• transformercpi
• structure-free-virtual-sreening

Interpretable bilinear attention network with domain adaptation improves drug-target prediction.

code to run sei and obtain sei and sequence class predictions

PyTorch implementation of "TGSA: Protein-Protein Association-Based Twin Graph Neural Networks for Drug Response Prediction with Similarity Augmentation"

DeepAEG: A model for predicting cancer drug response based on data enhancement and edge-collaborative update strategies

GNN-based gene-selection deep learning model for drug response prediction