Evidence map›Paper›PMID 39292622›Full record

ArticleProtein engineering, design & selection : PEDS2024

Supercharged Phosphotriesterase for improved Paraoxon activity.

Jacob Kronenberg, Dustin Britton, Leif Halvorsen, Stanley Chu, Maria Jinu Kulapurathazhe, Jason Chen, Ashwitha Lakshmi, P Douglas Renfrew, Richard Bonneau, Jin Kim Montclare

Abstract read
In one paragraph

Article in Protein engineering, design & selection : PEDS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Jacob KronenbergDepartment of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, USA.
Dustin BrittonDepartment of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, USA.
Leif HalvorsenCenter for Genomics and Systems Biology, New York University, New York, New York 10003, USA.
Stanley ChuDepartment of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, USA.
Maria Jinu KulapurathazheDepartment of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, USA.
Jason ChenDepartment of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, USA.
Ashwitha LakshmiDepartment of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, USA.
P Douglas RenfrewCenter for Genomics and Systems Biology, New York University, New York, New York 10003, USA.ORCID 0000-0003-4267-2932
Richard BonneauCenter for Genomics and Systems Biology, New York University, New York, New York 10003, USA.
Jin Kim MontclareDepartment of Chemical and Biomolecular Engineering, New York University Tandon School of Engineering, Brooklyn, New York 11201, USA.ORCID 0000-0001-6857-3591

Funding

Computationally Designed Stable Artificial Phosphotriesterases for Detoxification of Organophosphorus AgentsR21NS103831 · NINDS · NEW YORK UNIVERSITY · PI MONTCLARE, JIN KIM · 2017 to 2018
$349k
Army Educational Outreach Program's Undergraduate Research Apprenticeship Program W911NF-19-2-0160National Science Foundation 1918981NIH HHS R21NS103831-01NINDS NIH HHS R21 NS103831Simons Foundation
6 · The paper itself

Abstract

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.

Indexed as

Cholinesterase InhibitorsEnzyme StabilityOrganophosphate PoisoningParaoxonPhosphoric Triester HydrolasesProtein EngineeringAlgorithmsBiocatalysisCatalysisCircular DichroismComputational BiologyModels, MolecularSolubilityThermodynamicsCholinesterase InhibitorsParaoxonPhosphoric Triester Hydrolasesenzyme engineeringorganophosphatesphosphotriesteraseProtein engineeringsupercharging

Identifiers

PMID39292622
PMCPMC11436286

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.