4.5 Article

An NMR look at an engineered PET depolymerase

Journal

BIOPHYSICAL JOURNAL
Volume 121, Issue 15, Pages 2882-2894

Publisher

CELL PRESS
DOI: 10.1016/j.bpj.2022.07.002

Keywords

-

Categories

Funding

  1. Region Midi-Pyrenees [MetaboHUB-AR-11-INBS-0010]
  2. ERDF
  3. Sicoval
  4. French Minister of Education Research
  5. Carbios
  6. ADEME [1882C0098]

Ask authors/readers for more resources

Plastic environmental pollution is a major issue. Plastic recycling and degrading enzymes can play an important role in the circular economy.
Plastic environmental pollution is a major issue that our generation must face to protect our planet. Plastic recycling has the potential not only to reduce the pollution but also to limit the need for fossil-fuel-based production of new plastics. Enzymes capable of breaking down plastic could thereby support such a circular economy. Polyethylene terephthalate (PET) degrading enzymes have recently attracted considerable interest and have been subjected to intensive enzyme engineering to improve their characteristics. A quadruple mutant of Leaf-branch Compost Cutinase (LCC) was identified as a most efficient and promising enzyme. Here, we use NMR to follow the initial LCC enzyme through its different mutations that lead to its improved performance. We experimentally define the two calcium-binding sites and show their importance on the all-or-nothing thermal unfolding process, which occurs at a temperature of 72 degrees C close to the PET glass transition temperature. Using various NMR probes such as backbone amide, methyl group, and histidine side-chain resonances, we probe the interaction of the enzymes with mono-(2-hydroxyethyl)terephthalic acid. The latter experiments are interpreted in terms of accessibility of the active site to the polymer chain.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available