Open source code for AlphaFold 2.
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AlphaFold 3 inference pipeline.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
- drug-discovery
- quantum-chemistry
- deep-learning
- biology
Official repository for the Boltz biomolecular interaction models
- binding-prediction
- drug-discovery
- protein-structure
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
- pytorch
- protein-structure
- alphafold2
Repository for the main Dockerfile with the OpenWorm software stack and project-wide issues
- openworm
- elegans
- biology
- simulation
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
- python
- ecg
- eda
- emg
This package contains deep learning models and related scripts for RoseTTAFold
Toward High-Accuracy Open-Source Biomolecular Structure Prediction.
- ai4science
- research
Chai-1, SOTA model for biomolecular structure prediction
Deep probabilistic analysis of single-cell and spatial omics data
- scrna-seq
- variational-bayes
- variational-autoencoder
- cite-seq
Implementation of Alphafold 3 from Google Deepmind in Pytorch
- artificial-intelligence
- deep-learning
- attention-mechanisms
- denoising-diffusion
To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released
- artificial-intelligence
- deep-learning
- protein-folding
- attention-mechanism
Biological foundation modeling from molecular to genome scale
An open-source application for biological image analysis
Python package for graph neural networks in chemistry and biology
- deep-learning
- graph-neural-networks
- dgl
- cheminformatics
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
- deep-learning
- protein-sequences
- protein-structure
- semi-supervised-learning
Generation of protein sequences and evolutionary alignments via discrete diffusion models
- discrete-diffusion
- generative-model
- multiple-sequence-alignment
- protein-sequences
OmegaFold Release Code
Generative biopolymer design with rich conditioning.
A tool for semi-automatic cell type classification
- python
- single-cell
- machine-learning
- scrna-seq
Sequential regulatory activity predictions with deep convolutional neural networks.
A dependency-free cross-platform swiss army knife for PDB files.
- python
- protein
- pdb
- bioinformatics
Benchmarking analysis of data integration tools