bschilder/VEP_protein

Using Protein Language Models to compute Variant Effect Predictions across population-scale populations.

/ 100

Experimental

No Package No Dependents

Maintenance 10 / 25

Adoption 0 / 25

Maturity 11 / 25

Community 0 / 25

Stars

—

Forks

—

Language

Jupyter Notebook

License

—

Category

Last pushed

Mar 06, 2026

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/bschilder/VEP_protein"

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

sacdallago/bio_embeddings

Get protein embeddings from protein sequences

tbepler/prose

Multi-task and masked language model-based protein sequence embedding models.

Rostlab/VESPA

VESPA is a simple, yet powerful Single Amino Acid Variant (SAV) effect predictor based on...

DeepRank/DeepRank-GNN-esm

Graph Network for protein-protein interface including language model features