Evidence map›Paper›PMID 15079053›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2004

Controlling the enantioselectivity of enzymes by directed evolution: practical and theoretical ramifications.

Manfred T Reetz

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
  2. Article
  3. Advances in the Directed Evolution of Computer-aided Enzymes.Current topics in medicinal chemistry · 2025
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Directed Evolution of a Cp*RhChembiochem : a European journal of chemical biology · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Directed Evolution ofFrontiers in bioengineering and biotechnology · 2020
    Article
  17. Article
  18. Machine learning-assisted directed protein evolution with combinatorial libraries.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  19. Article
  20. Rational and Semirational Protein Design.Methods in molecular biology (Clifton, N.J.) · 2018
    Review
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

1 author.

Manfred T ReetzMax-Planck-Institut für Kohlenforschung, Kaiser-Wilhelm-Platz 1, 45470 Mülheim/Ruhr, Germany. reetz@mpi-muelheim.mpg.de

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A fundamentally new approach to asymmetric catalysis in organic chemistry is described based on the in vitro evolution of enantioselective enzymes. It comprises the appropriate combination of gene mutagenesis and expression coupled with an efficient high-throughput screening system for evaluating enantioselectivity (enantiomeric excess assay). Several such cycles lead to a "Darwinistic" process, which is independent of any knowledge concerning the structure or the mechanism of the enzyme being evolved. The challenge is to choose the optimal mutagenesis methods to navigate efficiently in protein sequence space. As a first example, the combination of error-prone mutagenesis, saturation mutagenesis, and DNA-shuffling led to a dramatic enhancement of enantioselectivity of a lipase acting as a catalyst in the kinetic resolution of a chiral ester. Mutations at positions remote from the catalytically active center were identified, a surprising finding, which was explained on the basis of a novel relay mechanism. The scope and limitations of the method are discussed, including the prospect of directed evolution of stereoselective hybrid catalysts composed of robust protein hosts in which transition metal centers have been implanted.

Indexed as

Directed Molecular EvolutionEnzymesHydrogen BondingModels, MolecularMutagenesisStereoisomerismEnzymes

Identifiers

PMID15079053
PMCPMC395973

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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.