Evidence map›Paper›PMID 21029416›Full record

ArticleBMC systems biology2010

Further developments towards a genome-scale metabolic model of yeast.

Paul D Dobson, Kieran Smallbone, Daniel Jameson, Evangelos Simeonidis, Karin Lanthaler, Pınar Pir, Chuan Lu, Neil Swainston, Warwick B Dunn, Paul Fisher and 9 more

Open access · diamondAbstract read
In one paragraph

Article in BMC systems biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

47 citing papers in PubMed, 113 citations in OpenAlex.

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  10. Genome-scale metabolic reconstruction of the non-model yeastMetabolic engineering communications · 2020
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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

19 authors at 4 institutions in 2 countries.

Paul D DobsonSchool of Chemistry, The University of Manchester, Manchester M13 9PL, UK.
Kieran Smallbone
Daniel Jameson
Evangelos Simeonidis
Karin Lanthaler
Pınar Pir
Chuan Lu
Neil Swainston
Warwick B Dunn
Paul Fisher
Duncan Hull
Marie Brown
Olusegun Oshota
Natalie J Stanford
Douglas B Kell
Ross D King
Stephen G Oliver
Robert D Stevens
Pedro Mendes
University of Manchester · GBAberystwyth University · GBUniversity of Cambridge · GBVirginia Tech · US

Funding

Biotechnology and Biological Sciences Research Council BB/C008219/1Biotechnology and Biological Sciences Research Council BB/C505140/2Biotechnology and Biological Sciences Research Council BB/F006012/1
6 · The paper itself

Abstract

backgroundTo date, several genome-scale network reconstructions have been used to describe the metabolism of the yeast Saccharomyces cerevisiae, each differing in scope and content. The recent community-driven reconstruction, while rigorously evidenced and well annotated, under-represented metabolite transport, lipid metabolism and other pathways, and was not amenable to constraint-based analyses because of lack of pathway connectivity.

resultsWe have expanded the yeast network reconstruction to incorporate many new reactions from the literature and represented these in a well-annotated and standards-compliant manner. The new reconstruction comprises 1102 unique metabolic reactions involving 924 unique metabolites--significantly larger in scope than any previous reconstruction. The representation of lipid metabolism in particular has improved, with 234 out of 268 enzymes linked to lipid metabolism now present in at least one reaction. Connectivity is emphatically improved, with more than 90% of metabolites now reachable from the growth medium constituents. The present updates allow constraint-based analyses to be performed; viability predictions of single knockouts are comparable to results from in vivo experiments and to those of previous reconstructions.

conclusionsWe report the development of the most complete reconstruction of yeast metabolism to date that is based upon reliable literature evidence and richly annotated according to MIRIAM standards. The reconstruction is available in the Systems Biology Markup Language (SBML) and via a publicly accessible database http://www.comp-sys-bio.org/yeastnet/.

Indexed as

Genome, FungalModels, BiologicalLipid MetabolismMetabolomicsMolecular Sequence AnnotationSaccharomyces cerevisiaeSoftware

Identifiers

PMID21029416
PMCPMC2988745
OpenAlexW2092838569

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.