drug2ways / drug2waysLinks
A Python package for drug discovery by analyzing causal paths on multiscale networks
☆28Updated last year
Alternatives and similar repositories for drug2ways
Users that are interested in drug2ways are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…☆54Updated 2 months ago
- A database of paths that represent the mechanism of action from a drug to a disease in an indication.☆65Updated 5 months ago
- A deep learning framework for high-throughput mechanism-driven phenotype screening☆51Updated 4 years ago
- StarGazer is a tool designed for rapidly assessing drug repositioning opportunities. It combines multi-source, multi-omics data with a no…☆35Updated 2 years ago
- TargetDB is a tool to quickly querry multiple publicly available databases and provide an integrated view of the information available ab…☆32Updated last year
- ☆20Updated 5 years ago
- Deep Generative Models for Drug Combination (Graph Set) Generation given Hierarchical Disease Network Embedding☆31Updated 2 years ago
- comparing drug classification methods☆22Updated 5 years ago
- ☆18Updated last year
- This repository provides an implementation of the DTiGEMSplus tool, a network-based method for computational Drug-Target Interaction pred…☆27Updated 4 years ago
- Pipeline for assessing the tractability of potential targets (starting from Gene IDs)☆27Updated 8 months ago
- Amino Acid Embedding Representation as Machine Learning Features☆20Updated 7 years ago
- code for Gogleva et al manuscript☆46Updated 2 years ago
- ☆32Updated 6 years ago
- Comprehensive Resource of Biomedical Relations with Deep Learning Applications and Knowledge Graph Representations☆32Updated last year
- Implementation of ReSimNet for drug response similarity prediction☆40Updated last year
- Network-based Drug Repurposing for Human Coronavirus☆40Updated 5 years ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆70Updated last year
- Multi-Channel Deep Chemogenomic Modeling of Receptor-Ligand Binding Affinity Prediction for Drug Discovery☆28Updated 4 years ago
- Predicting mechanism of action of novelcompounds using compound structure andtranscriptomic signature co-embedding☆14Updated 2 years ago
- Introduction to Applied Mathematics and Informatics in Drug Discovery (AMIDD)☆32Updated last week
- Code for reproducing results of "Unsupervised embeddings is all you need for protein function prediction"☆41Updated 2 years ago
- ☆57Updated 6 years ago
- Data-driven chemical-induced toxicity prediction by machine learning using chemical and bioactivity data☆10Updated 8 years ago
- Mol2vec notebooks for use with Binder service☆29Updated 7 years ago
- ☆17Updated 4 years ago
- A high throughput automated drug discovery pipeline.☆29Updated 7 years ago
- Source code and data repository for "Ensembles of knowledge graph embedding models improve predictions for drug discovery"☆20Updated last year
- Package to analyze Mass Spec Data☆12Updated 2 years ago
- Computational Analysis of Novel Drug Opportunities☆39Updated last week