Accurate prediction of enzymatic degradation of plastics by language models
Abstract
Abstract Plastic pollution poses a significant environmental threat, with PET comprising 12% of global solid waste. Enzymatic degradation provides a sustainable recycling method, yet optimizing enzymes for industrial use remains difficult. This study utilizes protein and polymer language models to predict plastic degradation from protein sequences and polymer SMILES. The approach demonstrates high prediction accuracy with key structural features revealed by language models, enabling efficient in silico screening for protein design.
Fields of Study & Subjects
Enzyme Catalysis and Immobilization
biodegradable polymer synthesis and properties
Machine Learning in Bioinformatics
Publication details
- Journal / source
- Chemistry Letters
- Volume
- 55
- Issue
- 2
- Publication date
- 1 February 2026
- Language
- EN