TY - JOUR
T1 - Supercharged Phosphotriesterase for improved Paraoxon activity
AU - Kronenberg, Jacob
AU - Britton, Dustin
AU - Halvorsen, Leif
AU - Chu, Stanley
AU - Kulapurathazhe, Maria Jinu
AU - Chen, Jason
AU - Lakshmi, Ashwitha
AU - Renfrew, P. Douglas
AU - Bonneau, Richard
AU - Montclare, Jin Kim
N1 - Publisher Copyright:
© 2024 The Author(s). Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: [email protected].
PY - 2024
Y1 - 2024
N2 - Phosphotriesterases (PTEs) represent a class of enzymes capable of efficient neutralization of organophosphates (OPs), a dangerous class of neurotoxic chemicals. PTEs suffer from low catalytic activity, particularly at higher temperatures, due to low thermostability and low solubility. Supercharging, a protein engineering approach via selective mutation of surface residues to charged residues, has been successfully employed to generate proteins with increased solubility and thermostability by promoting charge-charge repulsion between proteins. We set out to overcome the challenges in improving PTE activity against OPs by employing a computational protein supercharging algorithm in Rosetta. Here, we discover two supercharged PTE variants, one negatively supercharged (with-14 net charge) and one positively supercharged (with +12 net charge) and characterize them for their thermodynamic stability and catalytic activity. We find that positively supercharged PTE possesses slight but significant losses in thermostability, which correlates to losses in catalytic efficiency at all temperatures, whereas negatively supercharged PTE possesses increased catalytic activity across 25°C-55°C while offering similar thermostability characteristic to the parent PTE. The impact of supercharging on catalytic efficiency will inform the design of shelf-stable PTE and criteria for enzyme engineering.
AB - Phosphotriesterases (PTEs) represent a class of enzymes capable of efficient neutralization of organophosphates (OPs), a dangerous class of neurotoxic chemicals. PTEs suffer from low catalytic activity, particularly at higher temperatures, due to low thermostability and low solubility. Supercharging, a protein engineering approach via selective mutation of surface residues to charged residues, has been successfully employed to generate proteins with increased solubility and thermostability by promoting charge-charge repulsion between proteins. We set out to overcome the challenges in improving PTE activity against OPs by employing a computational protein supercharging algorithm in Rosetta. Here, we discover two supercharged PTE variants, one negatively supercharged (with-14 net charge) and one positively supercharged (with +12 net charge) and characterize them for their thermodynamic stability and catalytic activity. We find that positively supercharged PTE possesses slight but significant losses in thermostability, which correlates to losses in catalytic efficiency at all temperatures, whereas negatively supercharged PTE possesses increased catalytic activity across 25°C-55°C while offering similar thermostability characteristic to the parent PTE. The impact of supercharging on catalytic efficiency will inform the design of shelf-stable PTE and criteria for enzyme engineering.
KW - Protein engineering
KW - enzyme engineering
KW - organophosphates
KW - phosphotriesterase
KW - supercharging
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U2 - 10.1093/protein/gzae015
DO - 10.1093/protein/gzae015
M3 - Article
C2 - 39292622
AN - SCOPUS:85205334455
SN - 1741-0126
VL - 37
JO - Protein Engineering, Design and Selection
JF - Protein Engineering, Design and Selection
M1 - gzae015
ER -