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)
Precision Medicine Knowledge Graph (PrimeKG)
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
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.
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
Interpretable drug response prediction with graph neural networks over drugs, cell lines, and genes.