ProSeqGO
ProSeqGO predicts Gene Ontology (GO) terms for protein sequences using ESM2 embeddings and a trained 1-Dimensional Convolutional Neural Network multi-label classifier. By integrating recent advances in protein language models, ProSeqGO facilitates large-scale, automated functional annotation directly from sequence input, empowering researchers to infer protein function, explore biological mechanisms, and accelerate discovery in genomics and proteomics.
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- api, command-line tool
- Programming Languages:
- Bash, Python, SQL
- Added:
- 8/5/2026
- Last Updated:
- 8/5/2026
Operations
Data Inputs & Outputs
Protein function prediction
Inputs
Outputs
Downloads
Links
Repository
https://github.com/BehRoooz/proseqgo