A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
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Updated
Oct 30, 2023 - Jupyter Notebook
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
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.
Hetionet: an integrative network of disease
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
Scripts and resources to create Hetionet v1.0, a heterogeneous network for drug repurposing
Source code for TKDE'22 "KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction"
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
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)
Multi-omics disease sub-type specific drug repositioning aided with expression signatures from ConnectivityMap
Processing high-throughput drug indication resources.
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