drug-repurposing
There are 152 repositories under drug-repurposing topic.
kexinhuang12345/DeepPurpose
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
gnn4dr/DRKG
A knowledge graph and a set of tools for drug repurposing
hetio/hetionet
Hetionet: an integrative network of disease
AngelRuizMoreno/Jupyter_Dock
Jupyter Dock is a set of Jupyter Notebooks for performing molecular docking protocols interactively, as well as visualizing, converting file formats and analyzing the results.
cansyl/DEEPScreen
DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images
virtualramblas/awesome-deep-learning-4-life-sciences
A collection of resources for Deep Learning in Python for Life Sciences (with focus on biotech and pharma).
AstraZeneca/awesome-drug-pair-scoring
Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)
inoue0426/awesome-computational-biology
Awesome list of computational biology.
ram-compbio/CANDO
Computational Analysis of Novel Drug Opportunities
xianglin226/Benchmarking-Single-Cell-Perturbation
Single-Cell (Perturbation) Model Library
bio-ontology-research-group/multi-drug-embedding
Method for drug repurposing from knowledge graphs and literature
dhimmel/integrate
Scripts and resources to create Hetionet v1.0, a heterogeneous network for drug repurposing
Barabasi-Lab/COVID-19
Supplementary code for the paper: Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19
dhimmel/clintrials
Cataloging pharmacotherapies in clinical trial from ClinicalTrials.gov
broadinstitute/lincs-cell-painting
Processed Cell Painting Data for the LINCS Drug Repurposing Project
xzenglab/KG-MTL
Source code for TKDE'22 "KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction"
yazdanimehdi/DeepDrugDomain
DeepDrugDomain: A versatile Python toolkit for streamlined preprocessing and accurate prediction of drug-target interactions and binding affinities, leveraging deep learning for advancing computational drug discovery.
hms-dbmi/dseqr
single-cell and bulk RNA-seq analyses from counts → pathways → drug candidates.
saramasarone/enrich_omics
A python package to explore pathways, diseases and drugs associated to a list of targets (genes, proteins, etc)
francescopatane96/Computer_aided_drug_discovery_kit
This pipeline provides a way to perform pharmaceutical compounds virtual screening using similarity-based analysis, ligand-based and structure-based techniques. The pipeline contains a collections of modules to perform a variety of analysis.
dhimmel/indications
Processing high-throughput drug indication resources.
eugenebang/DREAMwalk
The official code implementation for DREAMwalk in Python.
krassowski/drug-disease-profile-matching
Multi-omics disease sub-type specific drug repositioning aided with expression signatures from ConnectivityMap
open-prophetdb/biomedgps
A knowledge graph system with graph neural network for drug repurposing and disease mechanism.
HySonLab/drug-interactions
Project of drug interactions https://arxiv.org/pdf/2209.09941.pdf https://arxiv.org/pdf/2302.08680.pdf, NeurIPS 2022 (AI for Science)
Fraunhofer-ITMP/Pharmaceutical-patent-landscaping
Source code and data files for manuscript titled "Pharmaceutical patent landscaping: A novel approach to understand patents from the drug discovery perspective"
ShirleyWISiu/LigTMap
LigTMap currently supports prediction for 17 protein target classes that include 6000+ protein targets.
MahaThafar/DTi2Vec
This repository provides an implementation of the DTi2Vec tool, to identify Drug-Target interaction using network embedding and ensemble learning
ssiddhantsharma/deep-purpose-tutorial
Repository for the HackBio'2021 Internship for Team Drug-Development-A
gambalab/DREEP
Drug Response Estimation from single-cell Expression Profiles
cbalbin-bio/Epitopedia
Epitopedia: identifying molecular mimicry of known immune epitopes
HySonLab/DrugPipe
Generative AI-assisted Drug Repurposing Pipeline
mahsasheikh/DrugGen
DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback