178 results for “topic:drug-repurposing”
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
A knowledge graph and a set of tools for drug repurposing
Hetionet: an integrative network of disease
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.
A collection of resources for Deep Learning in Python for Life Sciences (with focus on biotech and pharma).
BitBIRCH clustering algorithm
Awesome list of computational biology.
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)
Single-Cell (Perturbation) Model Library
No description provided.
Computational Analysis of Novel Drug Opportunities
Method for drug repurposing from knowledge graphs and literature
No description provided.
Scripts and resources to create Hetionet v1.0, a heterogeneous network for drug repurposing
Processed Cell Painting Data for the LINCS Drug Repurposing Project
The official code implementation for DREAMwalk in Python.
Multimodal Contrastive Representation Learning in Augmented Biomedical Knowledge Graphs
Supplementary code for the paper: Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19
Source code for TKDE'22 "KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction"
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.
Cataloging pharmacotherapies in clinical trial from ClinicalTrials.gov
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.
DrugGen: Advancing Drug Discovery with Large Language Models and Reinforcement Learning Feedback
A curated list of FREE courses available online from top universities of the world on Computational Biology and Bioinformatics.
single-cell and bulk RNA-seq analyses from counts → pathways → drug candidates.
A python package to explore pathways, diseases and drugs associated to a list of targets (genes, proteins, etc)
Processing high-throughput drug indication resources.
Graph AI generates neurological hypotheses validated in molecular, organoid, and clinical systems
Multi-omics disease sub-type specific drug repositioning aided with expression signatures from ConnectivityMap