Evidence map›Paper›PMID 22737599›Full record

ArticleACS synthetic biology2012

SCHEMA-designed variants of human Arginase I and II reveal sequence elements important to stability and catalysis.

Philip A Romero, Everett Stone, Candice Lamb, Lynne Chantranupong, Andreas Krause, Aleksandr E Miklos, Randall A Hughes, Blake Fechtel, Andrew D Ellington, Frances H Arnold and 1 more

Open access · greenAbstract read
In one paragraph

Article in ACS synthetic biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
9.5field-weighted citation impact, top 1% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

15 citing papers in PubMed, 59 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Structure-guided SCHEMA recombination generates diverse chimeric channelrhodopsins.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  9. Article
  10. Review
  11. Arginase as a new concern in blood transfusion.Blood transfusion = Trasfusione del sangue · 2014
    Article
  12. Article
  13. Chimeragenesis of distantly-related proteins by noncontiguous recombination.Protein science : a publication of the Protein Society · 2013
    Article
  14. Article
  15. Article
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

11 authors at 2 institutions in 2 countries.

Philip A RomeroDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
Everett Stone
Candice Lamb
Lynne Chantranupong
Andreas Krause
Aleksandr E Miklos
Randall A Hughes
Blake Fechtel
Andrew D Ellington
Frances H Arnold
George Georgiou
The University of Texas at Austin · USCalifornia Institute of Technology · US

Funding

Synthetic Protein Families by Structure-Guided SCHEMA RecombinationR01GM068664 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI ARNOLD, FRANCES H · 2003 to 2010
$1.7M
Human engineered enzymes for L-Arg depletion chemotherapyR01CA139059 · NCI · UNIVERSITY OF TEXAS AT AUSTIN · PI GEORGIOU, GEORGE GEORGIOU · 2009 to 2011
$989k
NCI NIH HHS CA 139059NCI NIH HHS R01 CA139059NIGMS NIH HHS R01 GM068664NIGMS NIH HHS R01-GM068664
6 · The paper itself

Abstract

Arginases catalyze the divalent cation-dependent hydrolysis of L-arginine to urea and L-ornithine. There is significant interest in using arginase as a therapeutic antineogenic agent against L-arginine auxotrophic tumors and in enzyme replacement therapy for treating hyperargininemia. Both therapeutic applications require enzymes with sufficient stability under physiological conditions. To explore sequence elements that contribute to arginase stability we used SCHEMA-guided recombination to design a library of chimeric enzymes composed of sequence fragments from the two human isozymes Arginase I and II. We then developed a novel active learning algorithm that selects sequences from this library that are both highly informative and functional. Using high-throughput gene synthesis and our two-step active learning algorithm, we were able to rapidly create a small but highly informative set of seven enzymatically active chimeras that had an average variant distance of 40 mutations from the closest parent arginase. Within this set of sequences, linear regression was used to identify the sequence elements that contribute to the long-term stability of human arginase under physiological conditions. This approach revealed a striking correlation between the isoelectric point and the long-term stability of the enzyme to deactivation under physiological conditions.

Indexed as

AlgorithmsArginaseCatalysisComputer-Aided DesignEnzyme StabilityHumansModels, MolecularRecombinant Fusion ProteinsSynthetic BiologyARG1 protein, humanARG2 protein, humanArginaseRecombinant Fusion Proteins

Identifiers

PMID22737599
PMCPMC3378063
OpenAlexW2168826409

What OpenQuestion holds

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LicenceTDM
Read underepoch 390

Registered trials

None linked

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.