Rostlab/VESPA
VESPA is a simple, yet powerful Single Amino Acid Variant (SAV) effect predictor based on embeddings of the Protein Language Model ProtT5.
40
/ 100
Emerging
No commits in the last 6 months.
Stale 6m
No Package
No Dependents
Maintenance
0 / 25
Adoption
7 / 25
Maturity
16 / 25
Community
17 / 25
Stars
34
Forks
9
Language
Python
License
AGPL-3.0
Category
Last pushed
Mar 04, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/Rostlab/VESPA"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
BernhoferM/TMbed
Transmembrane proteins predicted through Language Model embeddings
50
sacdallago/bio_embeddings
Get protein embeddings from protein sequences
46
tbepler/prose
Multi-task and masked language model-based protein sequence embedding models.
44
DeepRank/DeepRank-GNN-esm
Graph Network for protein-protein interface including language model features
40