chenxingqiang / alphafold2-docsLinks
A C, C++, Python project focusing on Docking analysis, Source code, Blogs, Data availability, References.
☆26Updated 2 years ago
Alternatives and similar repositories for alphafold2-docs
Users that are interested in alphafold2-docs are comparing it to the libraries listed below
Sorting:
- Pytorch/Python3 implementation of DeepAccNet, protein model accuracy evaluator.☆89Updated 4 years ago
- Code for our paper "Protein sequence design with a learned potential"☆79Updated last year
- ☆35Updated 3 years ago
- Fork of matteofigliuzzi/bmDCA repository for Boltzmann-machine Direct Coupling Analysis (bmDCA).☆35Updated 4 years ago
- Code and data used in https://doi.org/10.1101/2021.08.01.454656☆53Updated 3 years ago
- Code for "Protein Docking Model Evaluation by Graph Neural Networks"☆59Updated 2 years ago
- ☆29Updated 5 years ago
- Universal framework for physically based computational protein design☆35Updated last year
- An evolutionary context-integrated deep learning framework for protein engineering☆63Updated 3 years ago
- Tool for modelling the CDRs of antibodies☆49Updated 2 years ago
- ☆73Updated last year
- The Enhanced Database of Interacting Protein Structures for Interface Prediction☆49Updated last year
- ☆109Updated 2 years ago
- Database of Interacting Protein Structures (DIPS)☆102Updated last year
- A multiple-layer inter-molecular contact features based deep neural network for protein-ligand binding affinity prediction☆80Updated 4 years ago
- Open source code for AlphaFold.☆39Updated 2 years ago
- A geometric deep learning framework (Geometric Transformers) for predicting protein interface contacts. (ICLR 2022)☆64Updated 3 years ago
- Repository for publicly available deep learning models developed in Rosetta community☆117Updated 3 years ago
- Flexible Protein-Protein Docking with a Multi-Track Iterative Transformer.☆98Updated 11 months ago
- Graphinity: Equivariant Graph Neural Network Architecture for Predicting Change in Antibody-Antigen Binding Affinity☆41Updated last week
- Guided Conditional Wasserstein GAN for De Novo Protein Design☆37Updated 4 years ago
- ☆86Updated 2 years ago
- Preforms De novo protein design using machine learning and PyRosetta to generate a novel protein structure☆52Updated 4 months ago
- ☆47Updated last year
- Code and Pre-Trained Models for "AttnPacker: An end-to-end deep learning method for protein side-chain packing"☆85Updated last year
- ☆49Updated last year
- Code for the paper "DLAB - Deep learning methods for structure-basedvirtual screening of antibodies"☆31Updated 2 years ago
- Geometric deep learning method to predict protein binding interfaces from a protein structure.☆134Updated last year
- Implementation of DiffPack: A Torsional Diffusion Model for Autoregressive Protein Side-Chain Packing☆88Updated last year
- Structure-based self-supervised learning enables ultrafast prediction of stability changes upon mutations☆63Updated this week