Deep learning redesign of PETase for practical PET degrading applications
H. Lu, D. J. Diaz, N. J. Czarnecki, C. J. Zhu, W. Kim, D. J. Acosta, B. Alexander, R. Shroff, H. Cole, Y. J. Zhang, N. Lynd, A. D. Ellington, H. S. Alper
This paper uses deep learning to redesign PETase, creating a highly active and stable enzyme for efficient PET degradation and industrial recycling.
bioRxiv · Oct 10, 2021 · PreprintBioengineering