Evidence map›Paper›PMID 30634957›Full record

ArticleBMC systems biology2019

SLIMEr: probing flexibility of lipid metabolism in yeast with an improved constraint-based modeling framework.

Benjamín J Sánchez, Feiran Li, Eduard J Kerkhoven, Jens Nielsen

Abstract read
In one paragraph

Article in BMC systems biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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  15. An atlas of human metabolism.Science signaling · 2020
    Article
  16. A comprehensive genome-scale model forMetabolic engineering communications · 2019
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  17. 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

4 authors.

Benjamín J SánchezDepartment of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Feiran LiDepartment of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Eduard J KerkhovenDepartment of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Jens NielsenDepartment of Biology and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden. nielsenj@chalmers.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA recurrent problem in genome-scale metabolic models (GEMs) is to correctly represent lipids as biomass requirements, due to the numerous of possible combinations of individual lipid species and the corresponding lack of fully detailed data. In this study we present SLIMEr, a formalism for correctly representing lipid requirements in GEMs using commonly available experimental data.

resultsSLIMEr enhances a GEM with mathematical constructs where we Split Lipids Into Measurable Entities (SLIME reactions), in addition to constraints on both the lipid classes and the acyl chain distribution. By implementing SLIMEr on the consensus GEM of Saccharomyces cerevisiae, we can represent accurate amounts of lipid species, analyze the flexibility of the resulting distribution, and compute the energy costs of moving from one metabolic state to another.

conclusionsThe approach shows potential for better understanding lipid metabolism in yeast under different conditions. SLIMEr is freely available at https://github.com/SysBioChalmers/SLIMEr .

Indexed as

Lipid MetabolismModels, BiologicalMetabolic Flux AnalysisSaccharomyces cerevisiaeStress, PhysiologicalFlux balance analysisGenome-scale metabolic modelingLipidomicsSaccharomyces cerevisiae

Identifiers

PMID30634957
PMCPMC6330394

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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.