BioinformaticsPLoS Computational BiologyPeer-reviewed
CPP2Vec: a Representation Learning Approach for Cell-Penetrating Peptides Prediction
Stavroula Svolou, Vasileios Konstantakos, Anastasia Krithara, Γεώργιος Παλιούρας
The paper introduces CPP2Vec, a Word2Vec-based method for predicting cell-penetrating peptides, and compares it with pre-trained LLM-based models, showing strong predictive performance.