Rostlab / EATLinks
Embedding-based annotation transfer (EAT) uses Euclidean distance between vector representations (embeddings) of proteins to transfer annotations from a set of labeled lookup protein embeddings to query protein embedding.
☆39Updated 5 months ago
Alternatives and similar repositories for EAT
Users that are interested in EAT are comparing it to the libraries listed below
Sorting:
- ☆47Updated last year
- GTalign, high-performance protein structure alignment, superposition and search☆52Updated 5 months ago
- ☆32Updated last year
- A tool for accurate prediction of a protein's secondary structure from only it's amino acid sequence☆63Updated 9 months ago
- Graph Network for protein-protein interface including language model features☆34Updated last year
- A structure-based, alignment-free embedding approach for proteins. Can be used as input to machine learning algorithms.☆41Updated 2 years ago
- Machine learning prediction of enzyme optimum pH☆50Updated 9 months ago
- Rapid protein-protein interaction network creation from multiple sequence alignments with Deep Learning☆91Updated last year
- ☆36Updated last year
- Repository for Protein-Vec, a protein embedding mixture of experts model☆38Updated 2 years ago
- ☆23Updated 2 months ago
- ML toolset for creating TED: The Encyclopedia of Domains☆25Updated 8 months ago
- Detection of remote homology by comparison of protein language model representations☆61Updated last year
- Python package to manage protein structures and their annotations☆45Updated last year
- A domain parser for Alphafold models☆46Updated 2 years ago
- Computational tools for extremely low-cost, massively parallel amplicon-based sequencing of every variant in protein mutant libraries.☆34Updated 3 years ago
- Mutation effects predicted from sequence co-variation☆72Updated 8 years ago
- Fast and accurate protein structure prediction☆57Updated last year
- Fast and accurate protein domain segmentation using Invariant Point Attention☆44Updated 8 months ago
- Biological prediction models made simple.☆48Updated 2 weeks ago
- scripts and facilities for in-silico mutagenesis with FoldX☆65Updated 3 weeks 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
- Fork of matteofigliuzzi/bmDCA repository for Boltzmann-machine Direct Coupling Analysis (bmDCA).☆35Updated 5 years ago
- Local homology search powered by ESM-2 language model, foldseek, hhsuite, and hmmer.☆16Updated last year
- ☆25Updated 2 years ago
- Alignment-free structure prediction using protein language models☆22Updated 3 years ago
- Prediction of binding residues for metal ions, nucleic acids, and small molecules.☆34Updated 4 months ago
- Graph-based community clustering approach to extract protein domains from a predicted aligned error matrix☆35Updated 3 years ago
- Direct coupling analysis software for protein and RNA sequences☆57Updated 6 months ago
- Fast protein domain structure embedding+search tool☆27Updated 4 months ago