A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
-
Updated
Jun 10, 2024 - 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
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).
Awesome list of computational biology.
BitBIRCH clustering algorithm
Single-Cell (Perturbation) Model Library
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)
💊 AI Research Assistant for Accelerated Drug Discovery. 🦞
Open-source precision oncology platform that ranks FDA-approved and repurposing drug candidates from a patient's variant profile using OncoKB, AlphaMissense, OpenTargets and ChEMBL evidence. Blinded 50-case oncologist holdout: Hit@3 0.900, zero false positives.
Computational Analysis of Novel Drug Opportunities
A curated list of FREE courses available online from top universities of the world on Computational Biology and Bioinformatics.
Graph AI generates neurological hypotheses validated in molecular, organoid, and clinical systems
Processed Cell Painting Data for the LINCS Drug Repurposing Project
Method for drug repurposing from knowledge graphs and literature
Scripts and resources to create Hetionet v1.0, a heterogeneous network for drug repurposing
To associate your repository with the drug-repurposing topic, visit your repo's landing page and select "manage topics."