There are 5 repositories under alphafold2 topic.
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
🧬 gget enables efficient querying of genomic reference databases
User friendly and accurate binder design pipeline
Saprot: Protein Language Model with Structural Alphabet (AA+3Di)
Trainable PyTorch framework for developing protein, RNA and complex models.
Modified version of Alphafold to divide CPU part (MSA and template searching) and GPU part. This can accelerate Alphafold when predicting multiple structures
Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.
MMseqs2 app to run on your workstation or servers
PyMOL extension to color AlphaFold structures by confidence (pLDDT).
Protein 3D structure prediction pipeline
Exploring Evolution-aware & free protein language models as protein function predictors
FrameDiPT: an SE(3) diffusion model for protein structure inpainting
Local Interaction Score (LIS) Calculation from AlphaFold-Multimer (Enhanced Protein-Protein Interaction Discovery via AlphaFold-Multimer)
A curated list of awesome self-learning materials in Computational Structural Biology, such as sources, tutorials, etc.
Run AlphaFold2 (and multimer) step by step
A tool for predicting the effects of missense mutations on protein stability changes upon missense mutation using protein sequence only. PROST uses colab AlhpaFold2 for the prediction of pdb struture from FASTA sequence.
Infrastructure template and Jupyter notebooks for running RoseTTAFold on AWS Batch.
Cryptic pocket prediction using AlphaFold 2
This repository contains the AlphaCutter.py for the removal of non-globular regions from predicted protein structures.
A curated list of awesome protein design research, software and resources.
A tool to visualise the results of AlphaFold2 and inspect the quality of structural predictions
AlphaFold2 and RoseTTAFold predictions of the SARS-CoV-2 B.1.1.529 variant Spike protein with HADDOCK antibody interactions
LightMHC: A Light Model for pMHC Structure Prediction with Graph Neural Networks
𝛂Charges: A tool for the quick calculation of partial atomic charges for protein structures from AlphaFold DB
A curated list of awesome Molecular Modeling And Drug Discovery 🔥
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.
GUI for running jobs with a local installation of AlphaFold2. Supports submission to queuing systems.
AlphaFold 2's confidence scores put into context
protein 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
An implementation of Invariant Point Attention from Alphafold 2
A Tufts Research Technology Workshop detailing how to use AlphaFold 2 on the Tufts HPC cluster