Published November 5, 2022
| Version v1
Dataset
Open
TMbed: transmembrane proteins predicted through language model embeddings - Precomputed Predictions
Authors/Creators
Description
We provide precomputed predictions for the human proteome and for UniProtKB/Swiss-Prot.
- Human (21-04-2022)
- UniProtKB/Swiss-Prot (11-05-2022)
Data Format
Regular text file with single letters encoding predicted residue classes.
In 3-line format, every protein is represented by three lines: header, sequence, labels.
B: Transmembrane beta strand (IN-->OUT orientation)b: Transmembrane beta strand (OUT-->IN orientation)H: Transmembrane alpha helix (IN-->OUT orientation)h: Transmembrane alpha helix (OUT-->IN orientation)S: Signal peptide.: Non-Transmembrane
Files
Additional details
Related works
- Describes
- Publication: 10.1186/s12859-022-04873-x (DOI)
Software
- Repository URL
- https://github.com/BernhoferM/TMbed
- Programming language
- Python , Python console