Detection of remote homology by comparison of protein language model representations
-
Updated
Oct 22, 2026 - Python
Detection of remote homology by comparison of protein language model representations
Comparison of Protein Sequence Embeddings to Classify Molecular Functions
CETSA-MS modelling toolkit for dose–response analysis, binder classification, Bayesian inference, ML curve typing, and proteome-wide stability networks.
Extract sequence embeddings from ESM protein language models with minimal setup.
To associate your repository with the protein-sequence-embeddings topic, visit your repo's landing page and select "manage topics."