Optimizing Protein Tokenization: Reduced Amino Acid Alphabets for Efficient and Accurate Protein Language Models (models)
Abstract
Dataset for the support of a journal publication. The data include the trained models presented in the paper. The code associated with this publication is available at: https://github.com/burstein-lab/BioTokenizers
Fields of Study & Subjects
Machine Learning in Bioinformatics
Protein Structure and Dynamics
vaccines and immunoinformatics approaches
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 15 January 2026
- Document type
- Dataset