jas-preet / SPOT-1D-SingleLinks
The standalone version of SPOT-1D-Single available for public use for research purposes.
☆24Updated last year
Alternatives and similar repositories for SPOT-1D-Single
Users that are interested in SPOT-1D-Single are comparing it to the libraries listed below
Sorting:
- Graph Network for protein-protein interface including language model features☆34Updated last year
- Fork of matteofigliuzzi/bmDCA repository for Boltzmann-machine Direct Coupling Analysis (bmDCA).☆35Updated 5 years ago
- Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".☆60Updated 4 years ago
- Code associated with the paper 'Cracking the blackbox of deep sequence-based protein-protein interaction prediction'☆27Updated last year
- Fast and accurate protein structure prediction☆56Updated 11 months ago
- An unofficial re-implementation of AntiBERTy, an antibody-specific protein language model, in PyTorch.☆26Updated last year
- Embedding-based annotation transfer (EAT) uses Euclidean distance between vector representations (embeddings) of proteins to transfer ann…☆38Updated 4 months ago
- AlphaLink: Integrating crosslinking MS data into OpenFold☆72Updated 2 years ago
- ☆31Updated last year
- Antibody Annotation - Annotate VH and VL sequences (FR and CDR) in Python☆30Updated 2 years ago
- ☆23Updated last month
- AlphaLink2: Integrating crosslinking MS data into Uni-Fold-Multimer☆60Updated 4 months ago
- Python package to atom map, correct and suggest enzymatic reactions☆41Updated last year
- ☆21Updated 2 years ago
- RNA Multiple Sequence Alignment☆47Updated 2 years ago
- A tool for accurate prediction of a protein's secondary structure from only it's amino acid sequence☆60Updated 8 months ago
- Fast and easy contact prediction.☆38Updated last year
- A complete, open-source, end-to-end re-implementation of the Church Lab's low-N eUniRep in silico protein engineering pipeline presented …☆27Updated 5 years ago
- ☆47Updated 11 months ago
- A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.☆41Updated 2 years ago
- Code associated with "Biophysical prediction of protein-peptide interactions and signaling networks using machine learning."☆70Updated last year
- Fast and accurate protein domain segmentation using Invariant Point Attention☆43Updated 7 months ago
- ☆25Updated 2 years ago
- Contrastive fitness learning: Reprogramming protein language models for low-N learning of protein fitness landscape☆35Updated 3 weeks ago
- Neural networks to fit interpretable models and quantify energies, energetic couplings, epistasis, and allostery from deep mutational sca…☆55Updated 8 months ago
- Parametric Building of de novo Functional Topologies☆44Updated 3 years ago
- pyFoldX: python bindings for FoldX.☆53Updated 4 years ago
- The code used to generate the results from Parkinson / Hard et al. 2022☆17Updated 6 months ago
- PDNET: A fully open-source framework for deep learning protein real-valued distances☆36Updated 4 years ago
- ☆36Updated 11 months ago