kWeissenow / EMBER2Links
Alignment-free structure prediction using protein language models
☆22Updated 3 years ago
Alternatives and similar repositories for EMBER2
Users that are interested in EMBER2 are comparing it to the libraries listed below
Sorting:
- Embedding-based annotation transfer (EAT) uses Euclidean distance between vector representations (embeddings) of proteins to transfer ann…☆41Updated 5 months ago
- ☆47Updated last year
- A tool for accurate prediction of a protein's secondary structure from only it's amino acid sequence☆63Updated 10 months ago
- Graph Network for protein-protein interface including language model features☆34Updated last year
- Detection of remote homology by comparison of protein language model representations☆61Updated last year
- Feature map and function annotation of Proteins☆34Updated last year
- Rapid protein-protein interaction network creation from multiple sequence alignments with Deep Learning☆90Updated last year
- ☆76Updated last year
- ☆25Updated 2 years ago
- Protein language model trained on coding DNA☆53Updated last year
- Evolutionary velocity with protein language models☆97Updated 2 months ago
- PLMSearch enables accurate and fast homologous protein search with only sequences as input☆78Updated 5 months ago
- ☆36Updated last year
- Biological prediction models made simple.☆48Updated 3 weeks ago
- Mutation effects predicted from sequence co-variation☆72Updated 8 years ago
- Antibody Annotation - Annotate VH and VL sequences (FR and CDR) in Python☆30Updated 2 years ago
- ☆56Updated 5 months ago
- Neural networks for deep mutational scanning data☆72Updated 8 months ago
- Ultra-fast in-silico structure mutation☆36Updated 10 months ago
- ☆109Updated 2 years ago
- GTalign, high-performance protein structure alignment, superposition and search☆54Updated 5 months ago
- ☆33Updated last year
- A structure-aware interpretable deep learning model for sequence-based prediction of protein-protein interactions☆109Updated last month
- Code and data to reproduce analyses in Biswas et al. (2020) "Low-N protein engineering with data-efficient deep learning".☆60Updated 4 years ago
- Fast deep learning methods for large-scale protein-protein interaction screening☆117Updated 6 months ago
- 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
- NetSurfP 3.0: Protein secondary structure and relative solvent accessibility prediction☆24Updated 2 years ago
- AlphaLink: Integrating crosslinking MS data into OpenFold☆72Updated 2 years ago
- Public repository describing training and testing of AntiBERTa.☆61Updated 2 years ago
- Fast protein structure searching or your money back☆118Updated 3 weeks ago