Bin-Chen-Lab / Awesome_BigData_AI_DrugDiscoveryLinks
A collection of resources useful for leveraging big data and AI for drug discovery. It mainly serves as an orientation for new lab folks. It may be biased towards my lab interest.
☆200Updated 2 years ago
Alternatives and similar repositories for Awesome_BigData_AI_DrugDiscovery
Users that are interested in Awesome_BigData_AI_DrugDiscovery are comparing it to the libraries listed below
Sorting:
- A collection of resources for Deep Learning in Python for Life Sciences (with focus on biotech and pharma).☆145Updated 3 months ago
- DEEPScreen: Virtual Screening with Deep Convolutional Neural Networks Using Compound Images☆114Updated last year
- The Databases for Drug Discovery (DDD)☆145Updated 7 years ago
- A computational drug discovery project, in which bioinformatic and machine learning tools are used to identify possible molecular targets…☆23Updated 4 years ago
- A visible neural network model for drug response prediction☆150Updated 2 years ago
- A curated list of resources for machine learning for small-molecule drug discovery☆230Updated 2 years ago
- This repository is the collection point of reference data for the GPCRdb. The GPCRdb contains reference data, interactive visualisation a…☆45Updated this week
- PyTorch implementation of bimodal neural networks for drug-cell (pharmarcogenomics) and drug-protein (proteochemometrics) interaction pre…☆54Updated 4 months ago
- User-friendly extensions of the DrugBank database☆194Updated 6 years ago
- Example code from the book "Deep Learning for the Life Sciences"☆389Updated 4 years ago
- Install alphafold on the local machine, get out of docker.☆103Updated 4 years ago
- VirtualFlow for Virtual Screening☆179Updated 3 months ago
- A deep learning framework for high-throughput mechanism-driven phenotype screening☆52Updated 4 years ago
- Modelling the Language of Life - Deep Learning Protein Sequences☆122Updated 5 years ago
- Educational materials for, and related to, UC Irvine's Drug Discovery Computing Techniques course (PharmSci 175/275), currently taught by…☆161Updated 9 months ago
- predicting peptide-protein interactions☆136Updated 2 years ago
- Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.☆166Updated last year
- Assorted tools for interacting with .gct, .gctx files and other Connectivity Map (Broad Institute) data/tools☆136Updated 3 years ago
- Open Drug Discovery Toolkit☆459Updated 3 years ago
- Structural Bioinformatics is awesome. Throw your textbook in the garbage, light the garbage can on fire, and blend the ashes into your co…☆75Updated 2 years ago
- Google Colab Tutorials for IBM3202☆272Updated last year
- Jupyter Dock is a set of Jupyter Notebooks for performing molecular docking protocols interactively, as well as visualizing, converting f…☆273Updated 2 years ago
- Modelling the Language of Life - Deep Learning Protein Sequences☆75Updated 4 years ago
- MolMapNet: An Efficient ConvNet with Knowledge-based Molecular Represenations for Molecular Deep Learning☆143Updated 2 months ago
- 🔧rna-tools: a toolbox to analyze sequences, structures and simulations of RNA (and more) used by RNA CASP, RNA PUZZLES, and me ;-) docs …☆179Updated 2 weeks ago
- Multi-task and masked language model-based protein sequence embedding models.☆104Updated 4 years ago
- Deep learning models and structure realization scripts for the DeepAb antibody structure prediction method.☆167Updated 3 years ago
- A Curated List of Computational Biology Datasets Suitable for Machine Learning☆195Updated last year
- iFeature is a comprehensive Python-based toolkit for generating various numerical feature representation schemes from protein or peptide …☆192Updated 3 years ago
- A curated list of awesome AI and Bioinformatics.☆47Updated 2 years ago