[김경진 교수] Science - Landscape profiling of PET depolymerases using a natural sequence cluster framework
KSEE
2025-01-06
0
114


*원문링크 science.org/doi/10.1126/science.adp5637


*Abstract

Enzymes capable of breaking down polymers have been identified from natural sources and developed

for industrial use in plastic recycling. However, there are many potential starting points for enzyme

optimization that remain unexplored. We generated a landscape of 170 lineages of 1894 polyethylene

terephthalate depolymerase (PETase) candidates and performed profiling using sampling approaches

with features associated with PET-degrading capabilities. We identified three promising yet unexplored

PETase lineages and two potent PETases, Mipa-P and Kubu-P. An engineered variant of Kubu-P

outperformed benchmarks in terms of PET depolymerization in harsh environments, such as those

with high substrate load and ethylene glycol as the solvent.