xinformatics / alphafoldLinks
Open source code for AlphaFold to extract protein embeddings
☆27Updated 4 years ago
Alternatives and similar repositories for alphafold
Users that are interested in alphafold are comparing it to the libraries listed below
Sorting:
- DistilProtBert implementation, a distilled version of ProtBert model.☆15Updated 3 years ago
- ☆60Updated last year
- Code for our paper "Protein sequence design with a learned potential"☆82Updated 2 years ago
- A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.☆41Updated 2 years ago
- Parameter-efficient embeddings for proteins, pretrained using a contrastive loss.☆30Updated 6 months ago
- RXN for biochemical reactions☆73Updated 3 years ago
- A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design☆110Updated last year
- LM-GVP: A Generalizable Deep Learning Framework for Protein Property Prediction from Sequence and Structure☆65Updated last year
- Implementation of trRosetta and trDesign for Pytorch, made into a convenient package, for protein structure prediction and design☆83Updated 4 years ago
- dMaSIF implementation for google colab☆36Updated 2 years ago
- PDNET: A fully open-source framework for deep learning protein real-valued distances☆36Updated 4 years ago
- Graph neural network for generating novel amino acid sequences that fold into proteins with predetermined topologies.☆60Updated 4 years ago
- ☆136Updated last year
- Preforms De novo protein design using machine learning and PyRosetta to generate a novel protein structure☆52Updated 11 months ago
- Contrastive learning harmonizing protein language models and natural language models☆39Updated last year
- ☆109Updated 2 years ago
- ☆74Updated last year
- A 3D-equivariant neural network for protein structure accuracy estimation☆20Updated 2 years ago
- Code for Fold2Seq paper from ICML 2021☆50Updated 3 years ago
- The Enhanced Database of Interacting Protein Structures for Interface Prediction☆53Updated 5 months ago
- A geometric deep learning framework (Geometric Transformers) for predicting protein interface contacts. (ICLR 2022)☆64Updated 3 years ago
- Protein Design by Machine Learning guided Directed Evolution☆47Updated last month
- PaccMann models for protein language modeling☆43Updated 4 years ago
- Implementation and replication of ProGen, Language Modeling for Protein Generation, in Jax☆113Updated 4 years ago
- RITA is a family of autoregressive protein models, developed by LightOn in collaboration with the OATML group at Oxford and the Debora Ma…☆99Updated 3 years ago
- Tool for modelling the CDRs of antibodies☆34Updated 3 years ago
- ☆35Updated 4 years ago
- PDBench is a dataset and software package for evaluating fixed-backbone sequence design algorithms.☆32Updated 3 years ago
- Code associated with the paper 'Cracking the blackbox of deep sequence-based protein-protein interaction prediction'☆27Updated 2 years ago
- ThermoNet is a computational method for quantitative prediction of the impact of single-point mutations on protein thermodynamic stabilit…☆119Updated 2 years ago