A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
- drug-repurposing
- deep-learning
- drug-target-interactions
- toolkit
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A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
Deep Reinforcement Learning for de-novo Drug Design
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
Optimising chemical reactions using machine learning
CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer
UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.
Interpretable drug response prediction with graph neural networks over drugs, cell lines, and genes.