KmalPred
Abstract
KmalPred is a protein language model–based framework for lysine malonylation (Kmal) site prediction. It uses ProtT5 residue-level embeddings (sequence-first encoding) and a BiLSTM classifier to predict Kmal sites from protein sequences.
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 21 April 2026