A computational approach to optimising laccase-mediated polyethylene oxidation through carbohydrate-binding module fusion.

ABSTRACT: Plastic pollution is a major global concern to the health and wellbeing of all terrestrial and marine life. However, no sustainable method for waste management is currently viable. This study addresses the optimisation of microbial enzymatic polyethylene oxidation through rational engineering of laccases with carbohydrate-binding module (CBM) domains. An explorative bioinformatic approach was taken for high-throughput screening of candidate laccases and CBM domains, representing an exemplar workflow for future engineering research. Molecular docking simulated polyethylene binding whilst a deep-learning algorithm predicted catalytic activity. Protein properties were examined to interpret the mechanisms behind laccase-polyethylene binding. The incorporation of flexible GGGGS(x3) hinges were

SUBMITTER: Gollan M 

PROVIDER: S-EPMC10324223 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature