To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released
- Updated
Oct 29, 2022 - Python
To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design
Optimizing AlphaFold Training and Inference on GPU Clusters
Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and adopted for use by EquiFold for protein folding
IntelliFold: A Controllable Foundation Model for General and Specialized Biomolecular Structure Prediction.
Implementation of Invariant Point Attention, used for coordinate refinement in the structure module of Alphafold2, as a standalone Pytorch module
Protein 3D structure prediction pipeline
Implementation of trRosetta and trDesign for Pytorch, made into a convenient package, for protein structure prediction and design
🧬 ManyFold: An efficient and flexible library for training and validating protein folding models
FrameDiPT: an SE(3) diffusion model for protein structure inpainting
Example to fit parameters and run CG simulations using TorchMD and Schnet
Step-by-step guide to install and configure AlphaFold 3 using a Conda Python 3.11 environment. No system-wide installations required. ✅ Miniconda setup & dependencies ✅ Repository cloning & model setup ✅ Database configuration & execution script 🔹 Requirements: Linux, NVIDIA GPU (Ampere+), CUDA, ~700GB disk space.
Implementation of the Triangle Multiplicative module, used in Alphafold2 as an efficient way to mix rows or columns of a 2d feature map, as a standalone package for Pytorch
Deep learning for protein science
Singularity recipe for AlphaFold
An interactive visual simulator for distance-based protein folding
Infrastructure template and Jupyter notebooks for running RoseTTAFold on AWS Batch.
OPUS-Fold: An Open-Source Protein Folding Framework Based on Torsion-Angle Sampling
A curated list of FREE courses available online from top universities of the world on Computational Biology and Bioinformatics.
Add a description, image, and links to the protein-folding topic page so that developers can more easily learn about it.
To associate your repository with the protein-folding topic, visit your repo's landing page and select "manage topics."