Orbifold / drug-repurposing
Drug Repurposing using TigerGraph and Graph Machine Learning.
☆18Updated 3 years ago
Alternatives and similar repositories for drug-repurposing:
Users that are interested in drug-repurposing are comparing it to the libraries listed below
- Code to accompany the "Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery" manuscript (Artificial Intelligence…☆33Updated 6 months ago
- StarGazer is a tool designed for rapidly assessing drug repositioning opportunities. It combines multi-source, multi-omics data with a no…☆33Updated last year
- A Python package for drug discovery by analyzing causal paths on multiscale networks☆26Updated 8 months ago
- The official code implementation for DREAMwalk in Python.☆17Updated last year
- ☆10Updated 4 years ago
- Official implementation of DrugGEN☆55Updated last week
- [IJMS 2022] DRPreter: Interpretable Anticancer Drug Response Prediction Using Knowledge-Guided Graph Neural Networks and Transformer☆9Updated 2 years ago
- A high throughput automated drug discovery pipeline.☆29Updated 6 years ago
- Code to accompany the "Implications of Topological Imbalance for Representation Learning on Biomedical Knowledge Graphs" (Briefings in B…☆17Updated 3 months ago
- Template for creating a BioCypher-driven knowledge graph☆12Updated 3 months ago
- A deep learning framework for high-throughput mechanism-driven phenotype screening☆49Updated 3 years ago
- A computational drug discovery project, in which bioinformatic and machine learning tools are used to identify possible molecular targets…☆20Updated 4 years ago
- TransDTI: Transformer-based language models for estimating DTIs and building a drug-recommendation workflow☆11Updated 2 years ago
- Core code for the paper "A deep learning model for drug response prediction from cancer genomic signatures and compound chemical structur…☆20Updated 3 years ago
- ☆16Updated 3 years ago
- ☆53Updated 5 years ago
- A collection of drug discovery, classification and representation learning papers with deep learning.☆42Updated 3 years ago
- ☆14Updated 2 years ago
- Introduction to Applied Mathematics and Informatics in Drug Discovery (AMIDD)☆30Updated 2 months ago
- Supplementary code for the paper: Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19☆27Updated 3 years ago
- Source code and data repository for "Ensembles of knowledge graph embedding models improve predictions for drug discovery"☆20Updated last year
- Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)☆90Updated 2 years ago
- The Clinical Trials Knowledge Graph☆54Updated last year
- A collection of resources for Deep Learning in Python for Life Sciences (with focus on biotech and pharma).☆109Updated last week
- A Graph Neural Network Model for prediction of the effectiveness of a drug on a given cancer cell lines☆17Updated last year
- Multi-Channel Deep Chemogenomic Modeling of Receptor-Ligand Binding Affinity Prediction for Drug Discovery☆27Updated 3 years ago
- Bioinformatics 2020: Graph Neural Networks for DNA Sequence Classification☆33Updated 4 years ago
- Cross matching drugs from different databases ( Drugbank, STITCH, ChEMBL PubChem, UMLS, TTD, KEGG, ZINC ) and saving in a structured TSV …☆20Updated last year
- DeepDrugDomain: A versatile Python toolkit for streamlined preprocessing and accurate prediction of drug-target interactions and binding …☆22Updated 4 months ago
- PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…☆50Updated 9 months ago