There are 19 repositories under drug-repurposing topic.
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
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.
DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images
Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)
A collection of resources for Deep Learning in Python for Life Sciences (with focus on biotech and pharma).
Awesome list of computational biology.
Computational Analysis of Novel Drug Opportunities
Method for drug repurposing from knowledge graphs and literature
Cataloging pharmacotherapies in clinical trial from ClinicalTrials.gov
Processed Cell Painting Data for the LINCS Drug Repurposing Project
Supplementary code for the paper: Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19
A python package to explore pathways, diseases and drugs associated to a list of targets (genes, proteins, etc)
Processing high-throughput drug indication resources.
Multi-omics disease sub-type specific drug repositioning aided with expression signatures from ConnectivityMap
The official code implementation for DREAMwalk in Python.
Project of drug interactions https://arxiv.org/pdf/2209.09941.pdf https://arxiv.org/pdf/2302.08680.pdf, NeurIPS 2022 (AI for Science)
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.
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.
This repository provides an implementation of the DTi2Vec tool, to identify Drug-Target interaction using network embedding and ensemble learning
LigTMap currently supports prediction for 17 protein target classes that include 6000+ protein targets.
Repository for the HackBio'2021 Internship for Team Drug-Development-A
Source code and data files for manuscript titled "Pharmaceutical patent landscaping: A novel approach to understand patents from the drug discovery perspective"
A knowledge graph system with graph neural network for drug repurposing and disease mechanism.
Epitopedia: identifying molecular mimicry of known immune epitopes
Drug repurposing using knowledge graph embeddings with a focus on vector-borne diseases