Evidence map›Paper›PMID 19237310›Full record

ReviewCurrent opinion in chemical biology2009

Enzyme (re)design: lessons from natural evolution and computation.

John A Gerlt, Patricia C Babbitt

Abstract readReview
In one paragraph

Review in Current opinion in chemical biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

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

51 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Deciphering the evolution of flavin-dependent monooxygenase stereoselectivity using ancestral sequence reconstruction.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  5. Resurrecting Enzymes by Ancestral Sequence Reconstruction.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Protein Flexibility and Stiffness Enable Efficient Enzymatic Catalysis.Journal of the American Chemical Society · 2019
    Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Computational tools for the evaluation of laboratory-engineered biocatalysts.Chemical communications (Cambridge, England) · 2016
    Review
  17. Article
  18. Article
  19. Biological messiness vs. biological genius: Mechanistic aspects and roles of protein promiscuity.The Journal of steroid biochemistry and molecular biology · 2015
    Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

John A GerltDepartments of Biochemistry and Chemistry, University of Illinois, Urbana, 61801, United States. j-gerlt@uiuc.edu
Patricia C Babbitt

Funding

Theoretical and Computational ApproachesP01GM071790 · NIGMS · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI RAUSHEL, FRANK M. · 2004 to 2013
$15.5M
Laying the Foundation of Genomic EnzymologyR01GM060595 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BABBITT, PATRICIA CLEMENT · 2000 to 2018
$5.4M
STRUCTURAL BASES FOR CATALYTIC EFFICIENCY AND SUBSTRATE SPECIFICITYR01GM065155 · NIGMS · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI GERLT, JOHN A · 2003 to 2011
$3.2M
GENOMIC ENZYMOLOGY: THE ENOLASE SUPERFAMILYR01GM052594 · NIGMS · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI GERLT, JOHN A · 1995 to 2006
$3.0M
NIGMS NIH HHS P01 GM071790NIGMS NIH HHS R01 GM052594NIGMS NIH HHS R01 GM060595NIGMS NIH HHS R01 GM065155
6 · The paper itself

Abstract

The (re)design of enzymes to catalyze 'new' reactions is a topic of considerable practical and intellectual interest. Directed evolution (random mutagenesis followed by screening/selection) has been used widely to identify novel biocatalysts. However, 'rational' approaches using either natural divergent evolution or computational predictions based on chemical principles have been less successful. This review summarizes recent progress in evolution-based and computation-based (re)design.

Indexed as

Computational BiologyEnzymesEvolution, MolecularProtein EngineeringEnzymes

Identifiers

PMID19237310
PMCPMC2711627

What OpenQuestion holds

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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.