Evidence map›Paper›PMID 24954722›Full record

ArticleNature communications2014

Identification of promiscuous ene-reductase activity by mining structural databases using active site constellations.

Georg Steinkellner, Christian C Gruber, Tea Pavkov-Keller, Alexandra Binter, Kerstin Steiner, Christoph Winkler, Andrzej Lyskowski, Orsolya Schwamberger, Monika Oberer, Helmut Schwab and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Nature communications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

35 citing papers in PubMed, 89 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A novel ene-reductase fromRSC advances · 2025
    Article
  6. Review
  7. Article
  8. Cavity-Based Discovery of New Fatty Acid Photodecarboxylases.Chembiochem : a European journal of chemical biology · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Plant direct · 2023
    Article
  16. Article
  17. Biocatalytic Reduction Reactions from a Chemist's Perspective.Angewandte Chemie (International ed. in English) · 2021
    Review
  18. Article
  19. Review
  20. 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

13 authors at 2 institutions in 1 country.

Georg Steinkellner1] ACIB GmbH, Petersgasse 14, 8010 Graz, Austria [2].
Christian C Gruber1] ACIB GmbH, Petersgasse 14, 8010 Graz, Austria [2].
Tea Pavkov-KellerACIB GmbH, Petersgasse 14, 8010 Graz, Austria.
Alexandra BinterACIB GmbH, Petersgasse 14, 8010 Graz, Austria.
Kerstin SteinerACIB GmbH, Petersgasse 14, 8010 Graz, Austria.
Christoph WinklerDepartment of Chemistry, University of Graz, Heinrichstrasse 28, 8010 Graz, Austria.
Andrzej LyskowskiACIB GmbH, Petersgasse 14, 8010 Graz, Austria.
Orsolya Schwamberger1] ACIB GmbH, Petersgasse 14, 8010 Graz, Austria [2] Institute of Molecular Biosciences, University of Graz, Humboldtstrasse 50, 8010 Graz, Austria.
Monika ObererInstitute of Molecular Biosciences, University of Graz, Humboldtstrasse 50, 8010 Graz, Austria.
Helmut Schwab1] ACIB GmbH, Petersgasse 14, 8010 Graz, Austria [2] Institute of Molecular Biotechnology, Graz University of Technology, Petersgasse 14, 8010 Graz, Austria.
Kurt Faber1] ACIB GmbH, Petersgasse 14, 8010 Graz, Austria [2] Department of Chemistry, University of Graz, Heinrichstrasse 28, 8010 Graz, Austria.
Peter Macheroux1] ACIB GmbH, Petersgasse 14, 8010 Graz, Austria [2] Institute of Biochemistry, Graz University of Technology, Petersgasse 12, 8010 Graz, Austria.
Karl Gruber1] ACIB GmbH, Petersgasse 14, 8010 Graz, Austria [2] Institute of Molecular Biosciences, University of Graz, Humboldtstrasse 50, 8010 Graz, Austria.
Austrian Centre of Industrial Biotechnology (Austria) · ATUniversity of Graz · AT

Funding

Austrian Science Fund FWF P 22722
6 · The paper itself

Abstract

The exploitation of catalytic promiscuity and the application of de novo design have recently opened the access to novel, non-natural enzymatic activities. Here we describe a structural bioinformatic method for predicting catalytic activities of enzymes based on three-dimensional constellations of functional groups in active sites ('catalophores'). As a proof-of-concept we identify two enzymes with predicted promiscuous ene-reductase activity (reduction of activated C-C double bonds) and compare them with known ene-reductases, that is, members of the Old Yellow Enzyme family. Despite completely different amino acid sequences, overall structures and protein folds, high-resolution crystal structures reveal equivalent binding modes of typical Old Yellow Enzyme substrates and ligands. Biochemical and biocatalytic data show that the two enzymes indeed possess ene-reductase activity and reveal an inverted stereopreference compared with Old Yellow Enzymes for some substrates. This method could thus be a tool for the identification of viable starting points for the development and engineering of novel biocatalysts.

Indexed as

Bacterial ProteinsCatalysisCatalytic DomainCrystallography, X-RayDatabases, ProteinKineticsModels, MolecularOxidoreductasesProtein ConformationThermus thermophilusBacterial ProteinsOxidoreductases

Identifiers

PMID24954722
PMCPMC4083419
OpenAlexW2065349718

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.