Evidence map›Paper›PMID 31559109›Full record

ArticleACS catalysis2018

Structural and Biochemical Studies of a Biocatalyst for the Enzymatic Production of Wax Esters.

Nektaria Petronikolou, Satish K Nair

Abstract read
In one paragraph

Article in ACS catalysis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

11 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Exploring aRSC chemical biology · 2023
    Article
  5. Article
  6. Review
  7. Structural identification of catalytic His158 of PtMAC2p fromFrontiers in bioengineering and biotechnology · 2023
    Article
  8. Review
  9. Article
  10. Review
  11. 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

2 authors at 1 institution in 1 country.

Nektaria PetronikolouDepartment of Biochemistry, University of Illinois at Urbana Champaign, 600 S. Mathews Ave, Urbana IL USA.
Satish K NairDepartment of Biochemistry, University of Illinois at Urbana Champaign, 600 S. Mathews Ave, Urbana IL USA.
University of Illinois Urbana-Champaign · US

Funding

Exploring Peptide Conjugates as Trojan Horse Systems for Drug Design and DiscoveryR01AI117210 · NIAID · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI NAIR, SATISH K · 2016 to 2020
$2.2M
NIAID NIH HHS R01 AI117210
6 · The paper itself

Abstract

Wax esters are high-value products whose enzymatic synthesis is of increasing biotechnological interest. The fabrication of cell factories that mass-produce wax esters may provide a facile route towards a sustainable, and environment-friendly approach to a large-scale process for this commodity chemical. An expedient route for wax-ester biocatalysis may be facilitated by the action of enzymes termed wax ester synthases/diacylglycerol acyltransferases (WS/DGAT), which produce wax esters using fatty acids and alcohols as a precursor. In this work, we report the structure for a member of the WS/DGAT superfamily. The structural data in conjunction with bioinformatics and mutational analyses allowed us to identify the substrate binding pockets, and residues that may be important for catalysis. Using this information as a guide, we generated a mutant with preference towards shorter acyl-substrates. This study demonstrates the efficacy of a structure-guided engineering effort towards a WS/DGAT variant with preference towards wax esters of desired lengths.

Indexed as

BiodieselCrystal structureDiacylglycerol acyltransferaseMarinobacter aquaeolei VT8Wax estersWax ester synthaseWS/DGAT

Identifiers

PMID31559109
PMCPMC6761989
OpenAlexW2806943554

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.