Evidence map›Paper›PMID 29515539›Full record

ArticleFrontiers in microbiology2018

Identification of Key Residues for Enzymatic Carboxylate Reduction.

Holly Stolterfoht, Georg Steinkellner, Daniel Schwendenwein, Tea Pavkov-Keller, Karl Gruber, Margit Winkler

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Article
  3. Production of Aldehydes by Biocatalysis.International journal of molecular sciences · 2021
    Review
  4. Engineering carboxylic acid reductase for selective synthesis of medium-chain fatty alcohols in yeast.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  5. 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

6 authors at 3 institutions in 1 country.

Holly StolterfohtInstitute of Molecular Biotechnology, Graz University of Technology, NAWI Graz, Graz, Austria.
Georg SteinkellnerAustrian Centre of Industrial Biotechnology, Graz, Austria.
Daniel SchwendenweinAustrian Centre of Industrial Biotechnology, Graz, Austria.
Tea Pavkov-KellerAustrian Centre of Industrial Biotechnology, Graz, Austria.
Karl GruberAustrian Centre of Industrial Biotechnology, Graz, Austria.
Margit WinklerInstitute of Molecular Biotechnology, Graz University of Technology, NAWI Graz, Graz, Austria.
Austrian Centre of Industrial Biotechnology (Austria) · ATGraz University of Technology · ATUniversity of Graz · AT

Funding

Austrian Science Fund FWF P 28477Austrian Science Fund FWF V 415
6 · The paper itself

Abstract

Carboxylate reductases (CARs, E.C. 1.2.1.30) generate aldehydes from their corresponding carboxylic acid with high selectivity. Little is known about the structure of CARs and their catalytically important amino acid residues. The identification of key residues for carboxylate reduction provides a starting point to gain deeper understanding of enzymatic carboxylate reduction. A multiple sequence alignment of CARs with confirmed activity recently identified in our lab and from the literature revealed a fingerprint of conserved amino acids. We studied the function of conserved residues by multiple sequence alignments and mutational replacements of these residues. In this study, single-site alanine variants of

Indexed as

aldehydebiocatalysiscarboxylate reductaseflavor and fragrancepharmaceutical intermediatesignature sequence

Identifiers

PMID29515539
PMCPMC5826065
OpenAlexW2792930730

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.