A Case-Based Reasoning Graph Neural Network Approach for Drug Repositioning Task.
-
Updated
Jan 7, 2024 - Python
A Case-Based Reasoning Graph Neural Network Approach for Drug Repositioning Task.
Joint Embedding-classifier Learning for improved Interpretability (JELI)
Package which contains implementations of published collaborative filtering-based algorithms for drug repurposing.
Drug Disease assosiation prediction
Official code repository for "Controlling astrocyte-mediated synaptic pruning signals for schizophrenia drug repurposing with Deep Graph Networks".
This is the backend service repository that makes Drugst.One work. Drugst.One is a plug-and-play solution to make your biomedical (web-)tool drug repurposing ready. With just three lines of code the plugin can be integrated into your website within a few minues of work.
Package for STANdard drug Screening by COllaborative FIltering. Performs benchmarks against datasets and SotA algorithms, and implements training, validation and testing procedures.
DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images-with test scripts
Code associated with "Comprehensive evaluation of collaborative filtering in drug repurposing"
Team J-SCAMP's project for BioDataHack. Repurposing drugs through unsupervised machine learning.
Drug Repurposing framed as link prediction problem, solved with Knowledge Graph Embedding (KGE). University project.
The multilayer Perceptron algorithm trained on Chemoinformatics dataset of LRRK2 Gene inhibitors to screen the new potential inhibitors.
Collect and visualize network info about drugs and targets related to COVID-19
Code and Datasets for the paper "A deep learning framework for drug repurposing via emulating clinical trials on real-world patient data", published on Nature Machine Intelligence in 2021.
Constructs and analyzes genotype/phenotype networks using a list of OMIM phenotypic MIM numbers as input; ranks and clusters disease associated gene sets; runs enrichment analysis on gene sets for mechanism and drug discovery.
Querying a Language model in a residual path for drug-target interaction task
Code and Datasets for the paper "A deep learning framework for high-throughput mechanism-driven phenotype compound screening and its application to COVID-19 drug repurposing", published on Nature Machine Intelligence in 2021.
A pipeline to predict risk genes, implicated cell types and drugs for repurposing based on known risk genes (derived from GWAS) for complex traits.
NIH AI Workshop1: Generating Molecular Features for Drug Function Classification
Add a description, image, and links to the drug-repurposing topic page so that developers can more easily learn about it.
To associate your repository with the drug-repurposing topic, visit your repo's landing page and select "manage topics."