There are 4 repositories under alphafold2 topic.
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
🧬 gget enables efficient querying of genomic reference databases
Trainable PyTorch framework for developing protein, RNA and complex models.
Saprot: Protein Language Model with Structural Alphabet
Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.
Modified version of Alphafold to divide CPU part (MSA and template searching) and GPU part. This can accelerate Alphafold when predicting multiple structures
Exploring Evolution-aware & free protein language models as protein function predictors
MMseqs2 app to run on your workstation or servers
PyMOL extension to color AlphaFold structures by confidence (pLDDT).
FrameDiPT: an SE(3) diffusion model for protein structure inpainting
Protein 3D structure prediction pipeline
Run AlphaFold2 (and multimer) step by step
A curated list of awesome self-learning materials in Computational Structural Biology, such as sources, tutorials, etc.
Infrastructure template and Jupyter notebooks for running RoseTTAFold on AWS Batch.
Cryptic pocket prediction using AlphaFold 2
AlphaFold2 and RoseTTAFold predictions of the SARS-CoV-2 B.1.1.529 variant Spike protein with HADDOCK antibody interactions
A curated list of awesome protein design research, software and resources.
A curated list of awesome Molecular Modeling And Drug Discovery 🔥
LightMHC: A Light Model for pMHC Structure Prediction with Graph Neural Networks
This repository contains the AlphaCutter.py for the removal of non-globular regions from predicted protein structures.
A tool to visualise the results of AlphaFold2 and inspect the quality of structural predictions
The Python software re-glycosylates protein structures using MD simulation results from the glycoshape database. It takes alphafold protein structures as input and outputs modified structures with glycans added at appropriate sites.
𝛂Charges: A tool for the quick calculation of partial atomic charges for protein structures from AlphaFoldDB
An implementation of Invariant Point Attention from Alphafold 2
molecular graph representation
This Google colab notebook, allows for conservation analysis of user input genes, on their local machine. It relies on the MMSeq2 introduced by https://www.nature.com/articles/s41592-022-01488-1
AlphaFold 2's confidence scores put into context
A Tufts Research Technology Workshop detailing how to use AlphaFold 2 on the Tufts HPC cluster
Predicting probable drug-binding sites for thousands of human proteins using AlphaFold2 predicted 3D protein structures.
Fix Database problem for AlphaFold by updating some databases.
Using AlphaFold Artificial Intelligence for prediction Coronavirus glycoprotein structures