Evidence map›Paper›PMID 29188182›Full record

ArticleMetabolic engineering communications2017

A comprehensive evaluation of constraining amino acid biosynthesis in compartmented models for metabolic flux analysis.

Mathias Lehnen, Birgitta E Ebert, Lars M Blank

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Metabolic engineering communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 18 citations in OpenAlex.

  1. High-Throughput StationaryMethods in molecular biology (Clifton, N.J.) · 2026
    Article
  2. High throughputMicrobial cell factories · 2023
    Article
  3. Review
  4. 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

3 authors at 1 institution in 1 country.

Mathias LehneniAMB - Institute of Applied Microbiology, ABBt - Aachen Biology and Biotechnology, RWTH Aachen University, Worringer Weg 1, D-52074 Aachen, Germany.
Birgitta E EbertiAMB - Institute of Applied Microbiology, ABBt - Aachen Biology and Biotechnology, RWTH Aachen University, Worringer Weg 1, D-52074 Aachen, Germany.
Lars M BlankiAMB - Institute of Applied Microbiology, ABBt - Aachen Biology and Biotechnology, RWTH Aachen University, Worringer Weg 1, D-52074 Aachen, Germany.
RWTH Aachen University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advances in the availability and applicability of genetic tools for non-conventional yeasts have raised high hopes regarding the industrial applications of such yeasts; however, quantitative physiological data on these yeasts, including intracellular flux distributions, are scarce and have rarely aided in the development of novel yeast applications. The compartmentation of eukaryotic cells adds to model complexity. Model constraints are ideally based on biochemical evidence, which is rarely available for non-conventional yeast and eukaryotic cells. A small-scale model for

Indexed as

13C-metabolic flux analysisACCOA, acetyl-CoACompartmented metabolismEukaryotesGLY, glycineH. polymorphaILE, isoleucineLEU, leucineMDV, mass distribution vectorMFA, metabolic flux analysisNon-conventional yeastPYR, pyruvateS. cerevisiaeSd, flux solution from a fully constrained modelSdmin, flux solution from a model with minimal constraintsSER, serineSf, flux solution from an unconstrained modelTHR, threonineTP, TargetP 1.1WP, WoLF PSORT

Identifiers

PMID29188182
PMCPMC5699530
OpenAlexW2735208389

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.