PEZy-miner: An artificial intelligence driven approach for the discovery of plastic-degrading enzyme candidates.

ABSTRACT: Plastic waste has caused a global environmental crisis. Biocatalytic depolymerization mediated by enzymes has emerged as an efficient and sustainable alternative for plastic treatment and recycling. However, it is challenging and time-consuming to discover novel plastic-degrading enzymes using conventional cultivation-based or omics methods. There is a growing interest in developing effective computational methods to identify new enzymes with desirable plastic degradation functionalities by exploring the ever-increasing databases of protein sequences. In this study, we designed an innovative machine learning-based framework, named PEZy-Miner, to mine for enzymes with high potential in degrading plastics of interest. Two datasets integrating information from experimentally verified enzymes

SUBMITTER: Jiang R 

PROVIDER: S-EPMC11414552 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature