AstraZeneca / awesome-drug-discovery-knowledge-graphsLinks
A collection of research papers, datasets and software related to knowledge graphs for drug discovery. Accompanies the paper "A review of biomedical datasets relating to drug discovery: a knowledge graph perspective" (Briefings in Bioinformatics, 2022)
☆229Updated last month
Alternatives and similar repositories for awesome-drug-discovery-knowledge-graphs
Users that are interested in awesome-drug-discovery-knowledge-graphs are comparing it to the libraries listed below
Sorting:
- A Knowledge Graph for Relational Learning On Biological Data☆100Updated last year
- ☆216Updated 2 years ago
- OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.☆152Updated last year
- ☆67Updated last year
- TxGNN: Zero-shot prediction of therapeutic use with geometric deep learning and clinician centered design☆210Updated last year
- Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)☆95Updated 2 years ago
- [Bioinformatics 2021] This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summa…☆86Updated 11 months ago
- Code to accompany the "Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery" manuscript (Artificial Intelligence…☆33Updated last week
- MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)☆210Updated 2 years ago
- A collection of resources for Deep Learning in Python for Life Sciences (with focus on biotech and pharma).☆135Updated 3 weeks ago
- A curated list of resources for machine learning for small-molecule drug discovery☆222Updated last year
- ☆55Updated 4 years ago
- The Clinical Trials Knowledge Graph☆57Updated 2 years ago
- Analysis notebooks and database interaction scripts for the nsides project☆19Updated 9 months ago
- Example code and data samples for "An experimentally validated approach to automated biological evidence generation in drug discovery usi…☆11Updated last year
- Deep functional residue identification☆323Updated 2 years ago
- Interpretable bilinear attention network with domain adaptation improves drug-target prediction.☆123Updated 2 years ago
- SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)☆64Updated 5 years ago
- [ICLR 2022] OntoProtein: Protein Pretraining With Gene Ontology Embedding☆147Updated 3 months ago
- Hetionet: an integrative network of disease☆289Updated 2 years ago
- Source code for "DeepDTA: deep drug-target binding affinity prediction"☆256Updated last year
- User-friendly extensions of the DrugBank database☆188Updated 6 years ago
- GraphDTA: Predicting drug-target binding affinity with graph neural networks☆256Updated 4 years ago
- A knowledge graph and a set of tools for drug repurposing☆643Updated 3 years ago
- Tutorials for Machine Learning on Graphs☆222Updated 3 years ago
- Toolbox - generic utilities for data processing (e.g., parsing, proximity, guild scoring, etc...)☆110Updated 3 years ago
- Protein-compound affinity prediction through unified RNN-CNN☆147Updated 11 months ago
- This is a code for compound-protein interaction (CPI) prediction based on a graph neural network (GNN) for compounds and a convolutional …☆163Updated 4 years ago
- Literature of deep learning for graphs in Chemistry and Biology☆200Updated 4 years ago
- A collection of drug discovery, classification and representation learning papers with deep learning.☆42Updated 3 years ago